智能交通信号灯毕业设计外文翻译
基于PLC的交通灯控制系统设计外文翻译
毕业设计（外文翻译）英文题目 PLC-based design of traffic lights中文题目基于PLC的交通灯设计系（院）自动化系专业电气工程与自动化学生姓名学号 2009022388指导教师职称讲师二〇一三年六月PLC-based design of traffic lights Abstract: One kind of traffic light control system using programmable logic controller (PLC), via software control traffic lights run automatically. In the system, the original line is the program instead of the relay, programmable logic controller (PLC) system hardware and software resources to be fair use. Normal operation and emergency transport for a detailed description and from the East and West emergencies can be mutually linked. Traffic signal systems and two seven-segment digital display in the countdown order; also discussed in detail the wiring of the hardware and PLC ladder. Traffic lights at the crossroads of the remote monitoring system design configuration software MCGS, real-time monitoring of traffic lights, greatly improving the reliability of data transmission. At the same time, we can configure the traffic lights to change the status of photographs.Keywords: switching power,supply protection, circuit system design1. IntroductionWith the social development and progress, traffic flow becomes increasingly important. On the one hand, too many crossroads, more and more vehicles, which are causing serious traffic congestion. On the other hand, in the limited time it is necessary to maintain the vehicle and pedestrian fast and safe. Therefore, one kind of traffic light control system design, can be used to display time countdown, with computer controlled real-time data. In addition, the configuration technology for real-time images that reflect the traffic lights, understand the historical crossroads of work to get traffic lights visualization. The system consists of host computer and a low computer. MCGS configuration is installed in the host computer is lower by the PLC control system.Normal traffic signal timing diagram shown in Figure 1. But there are some urgent matters, for example. There are a number of ambulances to transport patients to the hospital or to deal with a number of fire engines and fire. Fire engines and ambulances rushed to take precedence over other traffic scene. According to urban traffic control system, under normal circumstances, two control methods and urgency traffic control factors into account. This process can show 14 segment encoder. U.S. traffic lights instant record of the monitoring process.Emergency control signals to control traffic emergency switch. If there is no emergency lights all work, but when an emergency open. In this case, the car is urgent priority pass. Once the emergency vehicle passes, emergency switch off immediately. The green light in the same direction of the vehicle quickly flashes three times, followed by the normal operation. If you were from the north-south and east-west two emergency vehicles, traffic control systems can respond quickly came early, and then another.2. Traffic Control System DesignA. Hardware designCP1H series PLC as controller, display the procedure should stop when the time series of abnormal system operation, the time will not be displayed. When the emergency procedures are completed time series, countdown display program should be reset. At 220 V AC system is used to control traffic lights, 24 V DC control segment encoder, Figure 2 shows the scheme Eastern time display. CP1H series programmable logic controller (PLC) is a simple controller, which consists of 24 inputs and sixteen outputs. Because the output to twenty In this system, an I / Omodule must be extended. Circuit is shown in Figure 2.B. Control Program DesignSix timers and two special normal open pulse is used in this system, the green light flashes for all north-south and east-timer and a special pulse; eight kinds ofinterlocking internal relay is used to implement the urgency and transmit pulse two directions to PLC, shown in the figure. Two SDEC instructions are used to display the countdown display the corresponding light. As an important part of the countdown display program, east and west of the green light reflected in the view 4 in these programs downloaded to the programmable logic controller (PLC), all the traffic lights running accuracy, urgency, and things can be interlocked from north to south strictly, all the lights can be set back to the urgency of passing state. Therefore, these control program is correct, simple.C. Monitoring SystemComputer system has two main functions: an output signal acquisition and display real-time status of the programmable logic controller (PLC) to control traffic lights, traffic lights. Another notification robot status and history of the state real-time curve by examining the history and alarm window.This monitoring system design and configuration software MCGS configuration is easy. The serial communication is implemented as follows.Data inspection methods: double endedSerial Communications Number: COM0 endedThe minimum sampling period: 200 msProgrammable Logic Controller (PLC) The parameters are defined as follows: The minimum sampling period of the basic properties: 200 msThree read / write channel: X0, X1, X2Six read-only access (read U.S. traffic lights): Q0-Q5All channels must be connected to a variable defined in a real-time database access visits and other parameters to their default values. After a successful relationship, PLC and computer control system is able to change the color of the analog signal lights in the picture on the PC being collected data through the serial port.. In contrast, by changing the parameters of the host, the corresponding value is written to the PLC internal relay control, intersection traffic lights can be implemented. Experimental results show that the system is usually good enough and animation. Online monitoring system of traffic lights in Figure 5:3. ConclusionExperimental results show that the system is usually configured with enough good photos. This system simplifies the programmable logic controller (PLC) and the communication between the host computer using industrial configuration software development time is greatly reduced. In particular, more suitable for complex controlsystems. We can control the traffic lights by the PLC and MCGS configuration, replace the original relay control, improve the system's lifetime. At the same time, this method can be applied to control the motor and fluid levels. Remote control and configuration combined with the simulation, can be applied to similar control zone. 4. References[1] Whitworth, Duller, Jones D I. Aerial video inspection of overhead power lines [J].PowerEngineering Journal,2001,15:25-32.[2] Jan Axelson, Lakeview Research-Serial port complete [D]. USA:1999:91-135.基于PLC的交通灯控制系统设计摘要一种交通灯控制系统采用可编程序控制器(PLC), 通过软件控制交通灯自动运行。
交通工程专业毕业论文及外文文献-智能交通灯系统设计
毕业论文中文题目：智能交通灯系统设计外文题目：DESIGN OF INTELLIGENT TRAFFIC LIGHT S YSTEM附录A外文文献中文译文附录B外文文献毕业设计（论文）共75 页（其中：外文文献及译文23 页）图纸共1 张完成日期2016 年6 月答辩日期2016 年6 月摘要随着科学技术的发展，交通运输工具发展也愈来愈快，交通堵塞，交通事故频发，严重影响到人们的正常生活。
因此，一个功能完整，运行系统稳定，符合交通正常运行并且人性化的交通灯系统可以为我们的生活带来安全的保障，同时也有利于提高人们出行的便捷。
本文综合叙述了光电传感技术，交通灯的发展现状，在交通灯的基本功能即单片机控制红黄绿灯显示通行或禁行，数码管显示倒计时时间，黄闪等功能基础上，增加了紧急处理按键，应用光电传感器实现车流量检测智能调整时间以及闯红灯报警功能。
本文共分为六大部分，交通灯基本知识的介绍，光电开关技术的介绍，智能交通灯总体设计，硬件电路设计，软件设计以及智能交通灯设计的总结。
通过增加车流量检测及闯红灯报警等功能，体现了现代交通灯的智能功能，可以根据检测到的车流量自动调节下一周期绿灯的时间，从而减轻通行压力。
关键词：智能交通灯；车流量检测；光电开关AbstractWith the development of science technology, the development of transportbecomes fast.Traffic jam, frequent traffic accidents have the serious influence onhuman's normal life.A fully functional, stable operation system, conform to the normal operation of traffic and humanized traffic light system can bring us life security, as well as improve the convenience of travel.This article comprehensively describes thephotoelectric sensor technology , the development and status quo of traffic lights,besides the basic function ofthe chip microcomputer control traffic light shows the people pass or stop, digital tube displays the countdown time, yellow flashing, and other functions, I increase the emergency handling keys, adjusting time with the application of photoelectric sensors for detecting traffic and red light alarm functions. This article is divided into six parts, the introduction of basic knowledge about traffic lights ,the Photoelectric switch technology,the intelligent traffic light overall design, the hardware circuit design, the software design, as well as the summary and prospect of intelligent traffic light design.By increasing traffic detection and,red light alarm, and other functions,which embodies the modern intelligent function of traffic lights, traffic can be detected according to automatically adjust the next cycle of green light time, so as to alleviate traffic pressure.Key words:Intelligent traffic lights; Traffic detection; Photoelectric switch目录1 绪论 (1)1.1 研究目的 (1)1.2 研究意义 (1)1.3 交通灯发展历史 (2)1.4 交通灯分类及控制方式 (2)1.4.1 交通灯分类 (2)1.4.2 交通灯控制 (4)1.5 智能交通灯的研究现状 (4)1.6 预期实现功能 (5)1.7 主要内容安排 (7)2 光电传感技术 (8)2.1 光电开关特点 (8)2.2 光电开关分类 (8)2.2.1 按结构分类 (8)2.2.2 按检测方式分类 (8)2.3 光电开关的工作原理 (10)2.4 光电传感器技术应用 (11)2.5 光电开关使用注意事项 (11)3 总体设计方案选择 (12)3.1 控制模块方案选择 (12)3.2 显示模块方案选择 (13)3.3 输入模块方案选择 (14)3.4 传感器模块方案选择 (14)4 硬件系统设计 (17)4.1STC89C51 单片机介绍 (17)4.2 单片机最小系统 (20)4.2.1 时钟电路 (20)4.2.2 复位电路 (21)4.3 显示模块 (22)4.3.1 发光二极管 (22)4.3.2 数码管 (23)4.4 按键模块 (24)4.5 光电开关模块 (25)4.6 蜂鸣器模块 (25)5 软件设计 (27)5.1 主程序设计 (27)5.2 子程序设计 (28)5.2.1 显示子程序设计 (28)5.2.2 外部中断子程序设计 (29)5.2.3 定时中断子程序设计 (29)6 系统仿真 (31)6.1 仿真软件介绍 (31)6.2 仿真结果及分析 (31)7 总结 (38)致谢 (39)参考文献 (40)附录 A 译文 (41)附录 B 外文文献 (51)附录 C 硬件电路图 (64)附录 D 程序代码 (65)辽宁工程技术大学毕业设计（论文）1 绪论本章重点介绍智能交通灯的研究目的、研究意义、以及交通灯的发展过程、交通灯分类及控制方式、智能交通灯的研究现状和预期实现功能。
智能交通系统中英文对照外文翻译文献
智能交通系统中英文对照外文翻译文献(文档含英文原文和中文翻译)原文:Traffic Assignment Forecast Model Research in ITS IntroductionThe intelligent transportation system (ITS) develops rapidly along with the city sustainable development, the digital city construction and the development of transportation. One of the main functions of the ITS is to improve transportation environment and alleviate the transportation jam, the most effective method to gain the aim is to forecast the traffic volume of the local network and the important nodes exactly with GIS function of path analysis and correlation mathematic methods, and this will lead a better planning of the traffic network. Traffic assignment forecast is an important phase of traffic volume forecast. It will assign the forecasted traffic to every way in the traffic sector. If the traffic volume of certain road is too big, which would bring on traffic jam, planners must consider the adoption of new roads or improving existing roads to alleviate the traffic congestion situation. This study attempts to present an improved traffic assignment forecast model, MPCC, based on analyzing the advantages and disadvantages of classic traffic assignment forecast models, and test the validity of the improved model in practice.1 Analysis of classic models1.1 Shortcut traffic assignmentShortcut traffic assignment is a static traffic assignment method. In this method, the traffic load impact in the vehicles’ travel is not considered, and the traffic impedance (travel time) is a constant. The traffic volume of every origination-destination couple will be assigned to the shortcut between the origination and destination, while the traffic volume of other roads in this sector is null. This assignment method has the advantage of simple calculation; however, uneven distribution of the traffic volume is its obvious shortcoming. Using this assignment method, the assignment traffic volume will be concentrated on the shortcut, which isobviously not realistic. However, shortcut traffic assignment is the basis of all theother traffic assignment methods.1.2 Multi-ways probability assignmentIn reality, travelers always want to choose the shortcut to the destination, whichis called the shortcut factor; however, as the complexity of the traffic network, thepath chosen may not necessarily be the shortcut, which is called the random factor.Although every traveler hopes to follow the shortcut, there are some whose choice isnot the shortcut in fact. The shorter the path is, the greater the probability of beingchosen is; the longer the path is, the smaller the probability of being chosen is.Therefore, the multi-ways probability assignment model is guided by the LOGIT model:∑---=n j ii i F F p 1)exp()exp(θθ (1)Where i p is the probability of the path section i; i F is the travel time of thepath section i; θ is the transport decision parameter, which is calculated by the followprinciple: firstly, calculate the i p with different θ (from 0 to 1), then find the θwhich makes i p the most proximate to the actual i p .The shortcut factor and the random factor is considered in multi-ways probabilityassignment, therefore, the assignment result is more reasonable, but the relationshipbetween traffic impedance and traffic load and road capacity is not considered in thismethod, which leads to the assignment result is imprecise in more crowded trafficnetwork. We attempt to improve the accuracy through integrating the several elements above in one model-MPCC.2 Multi-ways probability and capacity constraint model2.1 Rational path aggregateIn order to make the improved model more reasonable in the application, theconcept of rational path aggregate has been proposed. The rational path aggregate,which is the foundation of MPCC model, constrains the calculation scope. Rationalpath aggregate refers to the aggregate of paths between starts and ends of the trafficsector, defined by inner nodes ascertained by the following rules: the distancebetween the next inner node and the start can not be shorter than the distance betweenthe current one and the start; at the same time, the distance between the next innernode and the end can not be longer than the distance between the current one and theend. The multi-ways probability assignment model will be only used in the rationalpath aggregate to assign the forecast traffic volume, and this will greatly enhance theapplicability of this model.2.2 Model assumption1) Traffic impedance is not a constant. It is decided by the vehicle characteristicand the current traffic situation.2) The traffic impedance which travelers estimate is random and imprecise.3) Every traveler chooses the path from respective rational path aggregate.Based on the assumptions above, we can use the MPCC model to assign thetraffic volume in the sector of origination-destination couples.2.3 Calculation of path traffic impedanceActually, travelers have different understanding to path traffic impedance, butgenerally, the travel cost, which is mainly made up of forecast travel time, travellength and forecast travel outlay, is considered the traffic impedance. Eq. (2) displaysthis relationship. a a a a F L T C γβα++= (2)Where a C is the traffic impedance of the path section a; a T is the forecast traveltime of the path section a; a L is the travel length of the path section a; a F is theforecast travel outlay of the path section a; α, β, γ are the weight value of that threeelements which impact the traffic impedance. For a certain path section, there aredifferent α, β and γ value for different vehicles. We can get the weighted average of α,β and γ of each path section from the statistic percent of each type of vehicle in thepath section.2.4 Chosen probability in MPCCActually, travelers always want to follow the best path (broad sense shortcut), butbecause of the impact of random factor, travelers just can choose the path which is ofthe smallest traffic impedance they estimate by themselves. It is the key point ofMPCC. According to the random utility theory of economics, if traffic impedance is considered as the negativeutility, the chosen probability rs p of origination-destinationpoints couple (r, s) should follow LOGIT model:∑---=n j jrs rs bC bC p 1)exp()exp( (3) where rs p is the chosen probability of the pathsection (r, s);rs C is the traffic impedance of the path sect-ion (r, s); j C is the trafficimpedance of each path section in the forecast traffic sector; b reflects the travelers’cognition to the traffic impedance of paths in the traffic sector, which has reverseratio to its deviation. If b → ∞ , the deviation of understanding extent of trafficimpedance approaches to 0. In this case, all the travelers will follow the path whichis of the smallest traffic impedance, which equals to the assignment results withShortcut Traffic Assignment. Contrarily, if b → 0, travelers ’ understanding error approaches infinity. In this case, the paths travelers choose are scattered. There is anobjection that b is of dimension in Eq.(3). Because the deviation of b should beknown before, it is difficult to determine the value of b. Therefore, Eq.(3) is improvedas follows:∑---=n j OD j OD rsrs C bC C bC p 1)exp()exp(，∑-=n j j OD C n C 11（4） Where OD C is the average of the traffic impedance of all the as-signed paths; bwhich is of no dimension, just has relationship to the rational path aggregate, ratherthan the traffic impedance. According to actual observation, the range of b which is anexperience value is generally between 3.00 to 4.00. For the more crowded cityinternal roads, b is normally between 3.00 and 3.50.2.5 Flow of MPCCMPCC model combines the idea of multi-ways probability assignment anditerative capacity constraint traffic assignment.Firstly, we can get the geometric information of the road network and OD trafficvolume from related data. Then we determine the rational path aggregate with themethod which is explained in Section 2.1.Secondly, we can calculate the traffic impedance of each path section with Eq.(2),Fig.1 Flowchart of MPCC which is expatiated in Section 2.3.Thirdly, on the foundation of the traffic impedance of each path section, we cancalculate the respective forecast traffic volume of every path section with improvedLOGIT model (Eq.(4)) in Section 2.4, which is the key point of MPCC.Fourthly, through the calculation processabove, we can get the chosen probability andforecast traffic volume of each path section, but itis not the end. We must recalculate the trafficimpedance again in the new traffic volumesituation. As is shown in Fig.1, because of theconsideration of the relationship between trafficimpedance and traffic load, the traffic impedanceand forecast assignment traffic volume of everypath will be continually amended. Using therelationship model between average speed andtraffic volume, we can calculate the travel timeand the traffic impedance of certain path sect-ionunder different traffic volume situation. For theroads with different technical levels, therelationship models between average speeds totraffic volume are as follows: 1) Highway: 1082.049.179AN V = (5) 2) Level 1 Roads: 11433.084.155AN V = (6) 3) Level 2 Roads: 66.091.057.112AN V = (7) 4) Level 3 Roads: 3.132.01.99AN V = (8) 5) Level 4 Roads: 0988.05.70A N V =(9) Where V is the average speed of the path section; A N is the traffic volume of thepath section.At the end, we can repeat assigning traffic volume of path sections with themethod in previous step, which is the idea of iterative capacity constraint assignment,until the traffic volume of every path section is stable.译文智能交通交通量分配预测模型介绍随着城市的可持续化发展、数字化城市的建设以及交通运输业的发展，智能交通系统（ITS）的发展越来越快。
交通灯外文翻译（5篇范文）
交通灯外文翻译（5篇范文）第一篇：交通灯外文翻译Traffic lights and PLCWith economic development, increased the number of vehicles, road congestion is becoming increasingly serious, intelligent traffic lights on the emerged.At present, the world's Intelligent Transportation System will be: a huge structure, management difficulties, such as the maintenance of large inputs.In order to improve the existing traffic conditions, and to overcome the existing shortcomings of intelligent transportation system I designed analog control traffic lights in urban and rural areas of small-scale smart traffic lights.It has small size, intelligence, maintenance into small, easy to install and so on.And other intelligent transportation system compared to the system to adapt to economic and social development, in line with the current status of scientific and technological development.Intelligent traffic lights are a comprehensive use of computer network communication technology, sensor technology to manage the automatic control system of traffic lights.Urban traffic control system is used for urban traffic data monitoring, traffic signal control and traffic management computer system;it is the modern urban traffic control system command and the most important component.In short, how to use the appropriate control method to maximize the use of costly cities to build high-speed roads, trunk road and the ramp to alleviate urban areas with the neighboring state of traffic congestion has become more and more traffic management and urban planning departments need to address the the main problem.Nowadays, traffic lights installed in each crossing, hasbecome the most common and dredge the traffic, the most effective means.The development of the society, people's consumption level unceasing enhancement, private vehicles unceasing increase.And more cars roads are narrow road traffic is clear.So adopting effective method to control the traffic light is imperative.PLC intelligent control principle is the core of the control system, PLC put the things direction or north-south direction according to quantity of vehicles, the corresponding scale what divides class given the green light direction between north and south direction according to certain rules too long.It can realize divides class according to a given the green cars duration scale of maximum car release, reduce crossroads vehicles, ease traffic congestion stagnation, realize the optimal control, so as to improve the efficiency of the traffic control system.The application of PLC is continuously, and drive to the deepening traditional control test new month benefit updates.It is simple in structure, programming and high reliability etc, convenient already widely used in industrial processes and position in the automatic control.Due to use of PLC has the characteristics of environmental adaptable, and its internal timer is very rich in resources, but the current widely used “progressive” lights, especially for precise control more than thecrossway control can be easily realized.So now increasingly applying PLC traffic light system.Meanwhile, PLC itself also has communication networking function, will the same path as part of a LAN signal unified dispatching management, can shorten the traffic wait times, realize scientific management.In real-time detection and automatic control of PLC application system, PLC is often used as a core components.In the 21st century, PLC willhave greater development.Technically, the computer technology can morely new achievements used in programmable controller design and manufacturing, there will be faster, storage and larger capacity, intelligent stronger varieties appear;Look from product size, can further to mini and super-large direction;Look from product compatibility, the variety of our products will be more rich, specification more complete, perfect man-machine interface and complete communication equipment can better adapt to all kinds of industrial control occasion demands;Look from the market, all countries to their production of multiple products with international competition intensifies and break, can appear a few brand monopoly international market situation, can appear international general programming languages;Judging from the development of the network, programmable controller and other industrial control computer networking constitute a large control system is programmable controller technology development direction.The current computer distributed control system DCS has already a lot of programmable controller applications.Along with the development of computer network, the programmable controller as automation control network and international general network will be an important part of the industry and industry, the numerous fields outside play an increasing role.In China the increasing amount of motor vehicles, many big cities like Beijing, Shanghai, nanjing and other ground appeared traffic overload running condition, traffic accidents problem also more and more serious.And because the various special vehicles(such as an ambulance, 119 120 car, police and various special vehicle 110 in emergency situations, by red under limited to traffic bring a lot of inconvenience, even cause traffic accident.And now, most traffic lights at the same moment willappear two or more than two direction at the same time for the green situation, and increase the incidence of the traffic accident.Therefore, design a kind of designed for special vehicles through and not cause any traffic accident, normal traffic control any time only one direction of modern intelligent traffic light green traffic control system is urgently needed.交通灯与PLC 随着经济的发展，车辆的数目不断增加，道路堵车现象日益严重，智能交通灯就应运而生了。
交通灯控制系统外文翻译--
本科毕业设计（外文翻译）题目小型交通灯控制系统的设计与制作姓名韦强专业电子科学与技术学号 201031090指导老师洪新华郑州科技学院电气工程学院二0一四年五月二日THE DESIGN AND MANUFACTURE OF SMALL TRAFFICLIGHT CONTROL SYSTEM8-bit Microcontroller With 8K Bytes Flash AT89C52 DescriptionThe AT89C52 is a low-power, high-performance CMOS 8-bit microcomputer with 8K bytes of Flash programmable and erasable read only memory (PEROM). The device is manufactured using Atmel’s high-density nonvolatile memory technology and is compatible with the industry-standard 80C51 and 80C52 instruction set and pin out. The on-chip Flash allows the program memory to be reprogrammed in-system or by a conventional nonvolatile memory programmer. By combining a versatile 8-bit CPU with Flash on a monolithic chip, the Atmel AT89C52 is a powerful microcomputer which provides a highly-flexible and cost-effective solution to many embedded control applications.Pin Configurations1Pin DescriptionVCCSupply voltage.GNDGround.Port 0Port 0 is an 8-bit open drain bi-directional I/O port. As an output port, each pin can sink eight TTL inputs. When 1s are written to port 0 pins, the pins can be used as high-impedance inputs. Port 0 can also be configured to be the multiplexed low-order address/data bus during accesses to external program and data memory. In this mode, P0 has internal pull-ups. Port 0 also receives the code bytes during Flash programming and outputs the code bytes during program verification. External pull-ups are required during program verification.Port 1Port 1 is an 8-bit bi-directional I/O port with internal pull-ups. The Port 1 output buffers can sink/source four TTL inputs. When 1s are written to Port 1 pins, they are pulled high by the internal pull-ups and can be used as inputs. As inputs, Port 1 pins that are externally being pulled low will source current (I IL) because of the internal pull-ups. In addition, P1.0 and P1.1 can be configured to be the timer/counter 2 external count input (P1.0/T2) and the timer/counter 2 trigger input (P1.1/T2EX), respectively, as shown in the following table. Port 1 also receives the low-order address bytes during Flash programming and verification.2Port 2Port 2 is an 8-bit bi-directional I/O port with internal pull-ups. The Port 2 output buffers can sink/source four TTL inputs. When 1s are written to Port 2 pins, they are pulled high by the internal pull-ups and can be used as inputs. As inputs, Port 2 pins that are externally being pulled low will source current (I IL) because of the internal pull-ups. Port 2 emits the high-order address byte during fetches from external program memory and during accesses to external data memories that use 16-bit addresses (MOVX @DPTR). In this application, Port 2 uses strong internal pull-ups when emitting 1s. During accesses to external data memories that use 8-bit addresses (MOVX @ RI), Port 2 emits the contents of the P2 Special Function Register. Port 2 also receives the high-order address bits and some control signals during Flash programming and verification.Port 3Port 3 is an 8-bit bi-directional I/O port with internal pull-ups. The Port 3 output buffers can sink/source four TTL inputs. When 1s are written to Port 3 pins, they are pulled high by the internal pull-ups and can be used as inputs. As inputs, Port 3 pins that are externally being pulled low will source current (I IL) because of the pull-ups.Port 3 also serves the functions of various special features of the AT89C51, as shown in the following table. Port 3 also receives some control signals for Flash programming and verification.3RSTReset input. A high on this pin for two machine cycles while the oscillator is running resets the device.PSENProgram Store Enable is the read strobe to external program memory. When the AT89C52 is executing code from external program memory, PSEN is activated twice each machine cycle, except that two PSEN activations are skipped during each access to external data memory.XTAL1Input to the inverting oscillator amplifier and input to the internal clock operating circuit.XTAL2Output from the inverting oscillator amplifier.Timer 2 RegistersControl and status bits are contained in registers T2CON and T2MOD for Timer 2. The register pair (RCAP2H, RCAP2L) are the Capture/Reload registers for Timer 2 in 16-bit capture mode or 16-bit auto-reload mode.Interrupt Registers4The individual interrupt enable bits are in the IE register. Two priorities can be set for each of the six interrupt sources in the IP register.5小型交通灯控制系统的设计与制作8位8字节闪存单片机AT89C52功能特性描述AT89S52是一种低功耗、高性能CMOS8位微控制器，具有8K内置可编程闪存。
智能交通信号灯设计毕业设计论文
毕业设计(论文)智能交通信号灯设计THE DESIGN OF INTELLGENT TRAFFICLIGHT毕业设计（论文）原创性声明和使用授权说明原创性声明本人郑重承诺：所呈交的毕业设计（论文），是我个人在指导教师的指导下进行的研究工作及取得的成果。
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单片机交通灯中英文对照外文翻译文献
中英文对照外文翻译原文DESIGN OF TRAFFIC LIGHT BASED ON MCUBecause of the rapid development of our economy resulting in the car number of large and medium-sized cities surged and the urban traffic, is facing serious test, leading to the traffic problem increasingly serious, its basically are behaved as follows: traffic accident frequency, to the human life safety enormous threat, Traffic congestion, resulting in serious travel time increases, energy consumption increase; Air pollution and noise pollution degree of deepening, etc. Daily traffic jams become people commonplace and had to endure. In this context, in combination with the actual situation of urban road traffic, develop truly suitable for our own characteristics of intelligent signal control system has become the main task.PrefaceIn practical application at home and abroad, according to the actual traffic signal control application inspection, planar independent intersection signal control basic using set cycle, much time set cycle, half induction, whole sensor etc in several ways. The former two control mode is completely based on planar intersection always traffic flow data of statistical investigation, due to traffic flow the existence of variable sex and randomicity, the two methods have traffic efficiency is low, the scheme, the defects of aging and half inductive and all the inductive the two methods are in the former two ways based on increased vehicle detector and according to the information provided to adjust cycle is long and green letter of vehicle, it than random arrived adaptability bigger, can make vehicles in the parking cord before as few parking, achieve traffic flowing effectIn modern industrial production,current,voltage,temperature, pressure, and flow rate, velocity, and switch quantity are common mainly controlled parameter. For example: in metallurgical industry, chemical production, power engineering, the papermaking industry, machinery and food processing and so on many domains, people need to transport the orderlycontrol. By single chip microcomputer to control of traffic, not only has the convenient control, configuration simple and flexible wait for an advantage, but also can greatly improve the technical index by control quantity, thus greatly improve product quality and quantity. Therefore, the monolithic integrated circuit to the traffic light control problem is an industrial production we often encounter problems.In the course of industrial production, there are many industries have lots of traffic equipment, in the current system, most of the traffic control signal is accomplished by relays, but relays response time is long, sensitivity low, long-term after use, fault opportunity increases greatly, and adopts single-chip microcomputer control, the accuracy of far greater than relays, short response time, software reliability, not because working time reduced its performance sake, compared with, this solution has the high feasibility.About AT89C511.function characteristics description:AT89C51 is a low power consumption, high performance CMOS8 bit micro-controller, has the 8K in system programmable Flash memory. Use high-density Atmel company the beltpassword nonvolatile storage technology and manufacturing, and industrial 80S51 product instructions and pin fully compatible. Chip Flash allow program memory in system programmable, also suitable for conventional programmer. In a single chip, have dexterous 8 bits CPU and in system programmable Flash, make AT89C51 for many embedded control application system provides the high flexible, super efficient solution. AT89C51 has the following standard function: 8k bytes Flash, 256 bytes RAM, 32-bit I/O mouth line, the watchdog timer, two data pointer, three 16 timer/counter, a 6 vector level 2 interrupt structure, full-duplex serial port, piece inside crystals timely clock circuit. In addition, AT89C51 can drop to 0Hz static logic operation, support two software can choose power saving mode. Idle mode, the CPU to stop working, allowing the RAM, timer/counter, serial ports, interruption continue to work. Power lost protection mode, RAM content being saved, has been frozen, microcontroller all work stop, until the next interruption or hardware reset so far. As shown in figure 1 for the AT89C51 pins allotment.Figure 1 the AT89C51 pins allotment2.interrupt introductionAT89C51 has six interrupt sources: two external interruption, (and), three timer interrupt (timer 0, 1, 2) and a serial interrupts. Each interrupt source can be passed buy bits or remove IE the relevant special register interrupt allow control bit respectively make effective or invalid interrupt source. IE also includes an interrupt allow total control bit EA, it can be a ban all interrupts. IE. Six is not available. For AT89C51, IE. 5 bits are also not be used. User software should not give these bits write 1. They AT89 series for new product reserved. Timer 2 can be TF2 and the T2CON registers EXF2 or logical triggered. Program into an interrupt service, the sign bit can be improved by hardware qing 0. In fact, the interrupt service routine must determine whether TF2 or EXF2 activation disruption, the sign bit must also by software qing 0. Timer 0 and 1 mark a timer TF0 and TF1 has been presented in the cycle count overflow S5P2 074 bits. Their value until the next cycle was circuit capture down. However, the timer 2 marks a TF2 in count overflow of the cycle of S2P2 074 bits, in the same cycle was circuit capture down3.external clock driving characteristicsTable 14.leisure and power lost pattern external pins stateTable 2About 8255 chip1.8255 features:(1)A parallel input/output LSI chips, efficacy of I/O devices, but as CPU bus and peripheral interface.(2)It has 24 programmable Settings of I/O mouth, even three groups of 8 bits I/O mouth to mouth, PB mouth and PA PC mouth. They are divided into two groups 12 I/O mouth, A group including port A and C mouth (high four, PC4 ~ PC7), including group B and C port B mouth (low four, PC0 ~ PC3). A group can be set to give basic I/O mouth, flash control (STROBE) I/O flash controlled, two-way I/O3 modes, Group B can only set to basic I/O or flash controlled the I/O, and these two modes of operation mode entirely by controlling registers control word decision.2. 8255 pins efficacy:(1). RESET: RESET input lines, when the input outside at high levels, all internal registers (including control registers) were removed, all I/O ports are denoting input methods.(2). CS: chip choose a standard lamp line 1, when the input pins for low levels, namely/CS = 0, said chip is selected, allow 8255 and CPU for communications, / CS = 1, 8255 cannot with CPU do data transmission.(3). RD: read a standard lamp line 1, when the input pins for low levels, namely/RD = 0 and/CS = 0, allow 8255 through the data bus to the CPU to send data or state information, namely the CPU 8255 read from the information or data.(4). The WR: write a standard lights, when the input pins for low levels, namely/WR = 0 and/CS = 0, allows the CPU will data or control word write 8255.(5). D7: three states D0 ~ two-way data bus, 8255 and CPU data transmission channel, when the CPU execution input/output instruction, through its realization 8 bits of data read/write operation, control characters and status information transmitted through the data bus.(6). PA0 ~ PA7: port A input and output lines, A 8 bits of data output latches/buffers, an 8 bits of data input latches.(7). PB0 ~ PB7: port B input and output lines, a 8 bits of I/O latches, an 8 bits of input and output buffer.(8). PC0 ~ PC7: port C input and output lines, a 8 bits of data output latches/buffers, an 8 bits of data input buffer. Port C can through the way of working setting into two four ports, every 4 digit port contains A 4 digit latches, respectively with the port A and port B cooperate to use, can be used as control standard lights output or state standard lights input ports.(9). A0, A1: address selection line, used to select the PA 8255 mouth, PB mouth, PC mouth and controlling registers.When A0=0, A1= 0, PA mouth be chosen;When A0=0, A1 = 1, PB mouth be chosen;When A0=0, A1 = 1, PC mouth be chosen;When A0=1, A1= 1, control register is selected.Concerning seven section LED display introductionThrough light emitting diode chip appropriate link (including series and parallel) andappropriate optical structure. May constitute a luminous display light-emitting segments or shine points. By these luminous segments or shine point can be composed digital tube, symbols tube, m word pipe, tube, multilevel matrix display tube etc. Usually the digital tube, symbols tube, m word tube were called stroke display, but the stroke displays and matrix tube collectively referred to as character displays.1. The LED display classification(1) by word high marks: stroke monitors word high least 1mm (monolithic integrated type more digital tube word high in commonly 2 ~ 3mm). Other types of stroke display tiptop1.27 mm (0.5 inch) even up to hundreds of mm.(2) color-coded score red, orange, yellow, green and several kinds.(3) according to the structure points, reflecting cover type, a single point-elastic and monolithic integrated type.(4) from the luminous section electrode connection mode of points of anode and cathode two kinds.2. LED display parametersDue to the LED display is LED based, so its light, and the electrical characteristics and ultimate meaning of the parameters with most of the same light emitting diode. But because the LED monitor containing multiple light emitting diode, it must has the following specific parameters:(1) the luminous intensity ratioDue to the digital tube paragraphs in the same driving voltage, each are not identical, so positive current each different. The luminous intensity All segments of the luminous intensity values the ratio of the maximum and minimum values for the luminous intensity ratio. The ratio between 2.3 in 1.5 ~, the maximum cannot exceed 2.5.(2) pulse positive currentIF each segment of typical strokes displays for positive dc working current IF, then the pulse, positive current can be far outweigh.someotherwordpeopledontthinkoffirst. Pulse 390v smaller, pulse positive current can be bigger.Traffic signal control typeThe purpose of the traffic signal control are three: first,in time and space space intersection traffic in different directions,control traffic operation order; Second, make onplanar cross the road network on the people and objects of transport at the highest efficiency, Third, as the road users to provide necessary information, and help them to effectively use the traffic facilities. Road traffic signal control of basic types have many points method.According to the control geometry characteristic is divided into: single intersection control - point control, the traffic trunk lines of coordinated control - wire, traffic network coordination control surface controlling; -- According to the control principle differentiates: timing control, induced control and adaptive control.About watch-dog circuitBy single-chip computers.the micro computer system, because of single chip work often can be affected by external electromagnetic interference, causing program run fly while into dead circulation, the program's normal operation be interrupted by single chip microcomputer control system was unable to work, can cause the whole system of come to a standstill, happen unpredictable consequences, so out of microcontroller running status real-time.according consideration, they generate a specially used for monitoring microcontroller program running state of the chip, commonly known as "watchdog" (watchdog).MAX692 was slightly system monitoring circuit chip, have back-up battery switching, power lost discriminant functions monitoring, the watchdog. The encapsulation and pin instructions as figure2shows.Figure 2 MAX692 encapsulation and pinsWatch-dog circuit application, make SCM can in no condition to achieve continuous work, its working principle is: the watchdog chip and MCU an I/O pins are linked together, the I/O pins through program control it regularly to the watchdog of the pins on into high level (or the low level), this program statement is scattered on SCM other control statements,once among single-chip due to the interference makes application run into a fly after the procedures section into dead circulation state, write the watchdog pins program cannot be executed, this time, the watch-dog circuit will be without microcontroller sent signals, then at it and MCU reset pin connected pin reset signal give out a a, make SCM reposition occurs, namely the program from program memory splittext started, so we realized the MCU automatic reset.Infrared detection circuitThe infrared radiation photon in semiconductor materials stimutes the non-equilibrium carriers (electronic or holes), cause electrical properties change. Because carrier does not escape in vitro, so called within the photoelectric effect. Quantum photoelectric effect high sensitivity, response speed heat detectors much faster, is optional detectors. In order to achieve the best performance, generally need worked in low temperature. Photoelectric detector can be divided into:(1) optical type: also called photoconductive resistance. The incident photon stimulate the valence band uniform semiconductor electronic across forbidden band into the conduction band and left in valence band, cause cavitation increases, for electric conductance eigen light conductivity. From the band gaps of impurity level also can stimulate light into the conduction band or born carriers valence band, and for impurities light conductivity. The cutoff wavelength by impurity ionization energy (ie) decision. Quantum efficiencies below eigen optical and require lower working temperature.(2) photovoltaic type: mainly p - n knot of light born volts effect. Energy more than the width of infrared photonic band gaps in "area and its nearby of electrons cavitation. Existing "electric field make hole into p area, electronic into n area, two parts appear potentials. Deoxidization device have voltage or current signal. Compared with optical detectors, pv detector detect rate more than forty percent of figure limit, Don't require additional bias electric field and load resistance, no power consumption, having a high impedance. These characteristics of preparation and use of the focal plane array bring great benefits.(3) light emitting - Schottky potential barrier detector: metal and semiconductor contact, typically include PtSi/Si structure and form was Schott potential barrier, infrared photon through Si layer for PtSi absorption, electronic Fermi level, obtain energy leap over left cavitation potential barrier into the Si substrate, PtSi layer of electronic was collected,complete infrared detection. Make full use of Si integration technology, facilitate production, with lower cost and good uniformity wait for an advantage, but make it mass (1024 x 1024 even greater) focal plane array to make up for the defect of quantum low efficiency. Have strict low temperature requirements. With this kind of detector, both at home and abroad has already produced as qualitative good thermography. Pt Si/Si structure made of FPA is the earliest IRFPA.Timing counting and traffic calculationUsing MCS - 51 internal timer/counter for timing, cooperate software delay realizes the timer. This method hardware cost saving, cut allows the reader in timer/counter use, disruptions and programming get exercise and improve. Computation formula is as follows: TC = M - CType in, M for counter touch value, the value and the counter working way concerned.For a traffic intersection, it can in the shortest possible time to achieve maximum traffic, even reached the best performance, we call in unit of time to achieve the maximum flow multi-energy for cars.Use the equation: (traffic = traffic/time) to represent.译文:基于单片机的交通灯设计我国经济快速发展，汽车数量猛增，大中型城市的城市交通正面临着严峻的考验，交通问题日益严重，其主要表现如下：交通事故频发，对人类生命安全造成极大威胁；交通拥堵严重，导致出行时间增加，能源消耗加大；空气污染和噪声污染程度日益加深等。
智能交通信号控制技术的研究与应用(英文中文双语版优质文档)
智能交通信号控制技术的研究与应用（英文中文双语版优质文档）Intelligent traffic signal control technology is a research based on artificial intelligence technology. It is mainly to solve the problem of road traffic congestion in modern cities, optimize the traffic signal system, reduce the incidence of traffic accidents, improve traffic efficiency, reduce energy consumption and environmental pollution .1. Research on Intelligent Traffic Signal Control TechnologyIntelligent traffic signal control technology mainly studies the optimal control of traffic flow and the control strategy of traffic lights. The traditional traffic signal control method adopts the timing control method. The main problem of this method is that it cannot adapt to the traffic flow changes in different time periods, and cannot realize the real sense of traffic optimization control. The intelligent traffic signal control technology uses artificial intelligence technology to realize the adaptive control of the traffic signal system through the analysis and processing of real-time traffic data, so as to realize the optimal control of traffic.The main research content of intelligent traffic signal control technology includes: real-time traffic flow monitoring based on intelligent transportation system, traffic flow prediction based on traffic simulation technology, signal control optimization algorithm based on traffic flow prediction, etc. Among them, real-time traffic flow monitoring based on intelligent transportation system is the basis of intelligent traffic signal control technology. Through collecting traffic data, traffic condition monitoring and data analysis, real-time monitoring and forecasting of traffic flow is realized. The traffic flow prediction based on traffic simulation technology is to predict the traffic flow by establishing a traffic simulation model, and provide traffic flow prediction data for the signal control system. The signal control optimization algorithm based on traffic flow prediction realizes the optimization of traffic signal control by optimizing the signal control strategy according to the forecast data.2. Application of intelligent traffic signal control technologyIntelligent traffic signal control technology has been widely used in many cities. For example, in Shenzhen, Shanghai, Guangzhou and other cities in China, intelligent traffic signal control technology has been widely used and achieved remarkable results. Among them, Shenzhen took the lead in promoting intelligent traffic signal control technology in 2009. Through real-time monitoring and prediction of traffic flow data, it realized adaptive control of traffic signals and effectively solved the problem of urban traffic congestion.In addition, there are many other application scenarios for intelligent traffic signal control technology. For example, in highways, airports, ports and other transportation hubs, through the monitoring and control of traffic flow, the smooth and efficient operation of traffic flow can be achieved, traffic efficiency can be improved, and the incidence of traffic accidents can be reduced. In the public transportation system, intelligent traffic signal control technology can also be applied to the control of bus priority and public bicycle lanes to provide more convenient services for public transportation.also be combined with other technologies, such as GPS positioning technology, vehicle identification technology, road monitoring technology, etc., to achieve more accurate traffic monitoring and signal control, and provide a more comprehensive solution for urban traffic management .3. Advantages and challenges of intelligent traffic signal control technologyadvantages over traditional traffic signal control technology. First of all, it can realize adaptive control of traffic signals, intelligently adjust according to real-time traffic data, and realize real traffic optimization control. Secondly, it can reduce the probability of traffic congestion and accidents, improve the efficiency of traffic operation, and reduce energy consumption and environmental pollution. In addition, intelligent traffic signal control technology can also be used in combination with other traffic management technologies to achieve more comprehensive and precise traffic management.However, intelligent traffic signal control technology also faces some challenges. First of all, it requires a large amount of data support and algorithm optimization, the establishment of a complete data collection and processing system, and the optimization and upgrading of intelligent algorithms. Secondly, its promotion and application need to fully consider the characteristics and actual conditions of urban traffic, and need to fully coordinate and cooperate with urban planning and traffic management departments. Finally, the safety and stability of intelligent traffic signal control technology also needs to be fully guaranteed to avoid traffic accidents and other problems caused by technical problems.4. Future OutlookWith the continuous development and application of artificial intelligence technology, intelligent traffic signal control technology will also be more widely used in the future. In the future, intelligent traffic signal control technology will pay more attention to the realization of traffic intelligence and automation, and use artificial intelligence technology and automatic driving technology to achieve more intelligent, efficient and safe urban traffic management. Specifically, the future intelligent traffic signal control technology will cover the development of the following aspects:1. The intelligence and adaptability of traffic signal control will be more perfect. With the continuous advancement of intelligent algorithms and data processing technologies, traffic signal control systems will become more intelligent, adaptive and flexible, able to more accurately predict and respond to changes in traffic flow, and achieve more efficient and precise traffic signal control.2. Intelligent traffic signal control technology will be integrated with other traffic management technologies to achieve more comprehensive and precise traffic management. In the future, intelligent traffic signal control technology will be used in combination with GPS positioning technology, vehicle identification technology, road monitoring technology and other traffic management technologies to achieve more accurate, comprehensive and efficient urban traffic management.3. Intelligent traffic signal control technology will be widely used in autonomous driving technology and intelligent transportation systems. With the development of autonomous driving technology, intelligent traffic signal control technology will be used in combination with autonomous driving technology to achieve more intelligent and automated urban traffic management. At the same time, intelligent traffic signal control technology will also be widely used in intelligent transportation systems to provide more comprehensive and efficient solutions for urban traffic management.In short, intelligent traffic signal control technology is an important technology in the field of urban traffic management, and has broad application prospects and development space. In the future, we have reason to believe that with the continuous innovation and progress of technology, intelligent traffic signal control technology will bring more extensive and far-reaching influence on urban traffic management and social development.智能交通信号控制技术是一项基于人工智能技术的研究，它主要是为了解决现代城市道路交通拥堵的问题，优化交通信号系统，减少交通事故的发生率，提高交通效率，降低能源消耗和环境污染。
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智能交通信号灯摘要：信号控制是一种必要的措施以确保的质量和安全,交通循环。
现在的信号控制的进一步发展具有极大的潜力来减少运行时间、车辆、事故成本和整车排放。
检测的发展和计算机技术改变了交通信号控制从定时开环规定自适应反馈控制。
目前的自适应控制方法,像英国、瑞典MOV A SOS)和英国(孤立的信号(area-wide又控制),采用数学优化与仿真技术来调整信号波动的时间观察到的交通流实时的。
优化是通过改变时间和周期长度的绿色的信号。
在area-wide交叉口控制偏移是之间也发生了变化。
已经开发为几种方法确定最优周期长度和最小延迟在十字路口,但基于不确定性和严格的交通信号控制的本质,全局最优是不可能找到的。
1．引文：由于越来越多的公众意识的环境影响道路交通许多当局现在所追求的政策来:，管理供求−拥挤，影响模式和路径选择−;贯彻“三个代表”重要思想,提高公共汽车−有轨电车和其他公共服务车辆;设施提供更好的、更安全,骑自行车和行人的道路使用者等脆弱;降低汽车排放−、噪声和视觉入侵;为所有道路改善安全−用户群。
在自适应交通信号控制的弹性增强的增加的数量在周期层叠的绿色阶段,从而使数学优化非常复杂和困难。
因为这个原因,自适应信号控制在大多数情况下不是建立在精确的优化上,而是建立在绿色的扩展原理。
在实践中,遵循的均匀性是最主要的交通信号控制安全的原因。
这一规定的限制的周期时间和相位的安排。
因此,在实践中是交通信号控制的针对性的解决方案和调整的基础上由交通规划者。
现代可编程信号控制器以大量的可调参数是非常适合这一过程。
对于好的结果,一个经验丰富的策划人和微调领域中是必要的。
模糊控制已经被证明是成功的,在这些问题中,精确的数学建模是困难的或不可能的,但一名有经验的人可以控制的工艺操作。
因此,交通信号控制是一种适合于任务特别为模糊控制。
事实上,最古老的文化之一的潜力的例子是一个模拟的模糊控制在一个inter-section交通信号控制的两个单向的街道。
即使在这个非常简单的情况下,模糊控制是至少在作为一个良好的传统的自适应控制。
一般而言,模糊控制是发现在复杂问题都优于用多目标决策。
在交通信号控制多种交通流竞争来自同一时间和空间,而且不同的优先选择往往不同交通流或车辆组。
此外,优化标准,包括几个同时喜欢平均和最大车辆和行人延误、最大队列长度和百分比停止的车辆。
所以,它很可能是很有竞争力的模糊控制在复杂真实的十字路口的地方传统的优化方法的使用是有问题的。
2．模糊逻辑：介绍了模糊逻辑,并成功地应用于大范围的自动控制任务。
最大的好处模糊逻辑是有机会模型与不确定的模糊决策。
此外,模糊逻辑有能力理解语言指令和控制策略的基础上产生的先验的沟通。
这一点在利用模糊逻辑来控制理论的基础上,是模仿人类专家控制的知识,而不是为了构建过程本身。
的确,模糊控制已经被证明是成功的,在这些问题中,精确的数学建模是困难的或不可能的,但一名有经验的操作员可以控制的过程。
一般而言,模糊控制是发现在复杂问题都优于多目标决策。
目前,有大量的基于模糊推论系统技术。
不过它们当中的主要部分,受含糊不清的根基;即使它们大都是古典数学方法表现更好,他们还带有黑色的盒子,如德模糊化,这是很难证明数学或逻辑的。
例如,如果-然后模糊规则,它们在核心的模糊推理系统,经常报道的工作方式,是Ponens概括规则推理机制的经典,但随便起来就不是这样的,这之间的关系,这些规则和多值逻辑是任何已知的复杂和人工。
此外,专家系统的性能应相当于人类专家:它应该得到同样的结果,专家给,但提醒当控制问题是如此模糊,专家是不确定适当的行为。
现有的模糊专家系统很少满足这第二种情况。
然而,很多研究观察,模糊推理的方法是基于相似。
Kosko,举个例子,写的模糊隶属……代表的相似性定义对象特性的imprecisely。
以这句话严重,我们学习系统的多值等价,即模糊相似度。
原来,从Lukasiewicz多值逻辑的定义,我们能构建出一个模糊推理方法的表演,依赖于专家知识推理和只在定义的逻辑概念。
所以,我们不需要任何人造的解模糊化方法确定(如重心)决定最后输出的推断。
我们基本的观察是,任何的模糊集的生成一个模糊相似度,这些相似之处可以结合到一个模糊关系,变成了一个模糊相似度,太。
我们把这称为诱导模糊关系总模糊相似度。
如果-然后模糊推论系统实际上是选择:比较了每一个问题的IF-part规则库以一实际输入值,找到最相似案例和火相应的THEN-part;如果它并非是独一无二的,使用一个标准赋予了一位专家来进行。
基于多值逻辑Lukasiewicz welldefined,我们展示如何使用该方法可以正式实施。
假设和原则模糊交通信号控制交通信号控制是用来最大限度地提高效率的现有交通系统。
然而,交通系统的效率,甚至可以模糊。
通过提供时间分离的权利的方式接近流动,交通信号产生深刻影响了效率的交通流。
它们能操控的优势或者劣势的车辆和行人的;取决于权利的分配方式。
因此,正确的应用、设计、安装、操作和保养维护,交通信号的关键,是安全、高效有序的交通十字路口的运动。
在交通信号控制的,我们都能找到某种中不确定性的许多层面。
交通信号控制的输入是不准确的,而且这也意味着我们无法处理的交通方式的确切位置。
可能性是复杂的控制,并处理这些可能性是一个极其复杂的任务。
安全、最小化最大化,减少延迟环境方面的一些目标的控制,但这是很难处理大家聚在一起,传统的交通信号控制。
causeconsequence -关系的解释也不可能在交通信号控制。
这些都是典型特征的模糊控制。
基于模糊逻辑控制器的设计来捕获的关键因素,而不需要控制过程中许多详细的数学公式。
由于这个事实,他们有许多优势,在实时应用。
有一个简单的运算的控制器结构,因为它们不需要很多的数值计算。
他们的IFTHEN逻辑推理规则不需要很多的计算时间。
同时,控制器能够进行了大范围的输入,因为不同的控制规则可适用于他们。
如果系统相关知识是为代表的IFTHEN——简单模糊控制器的规则,fuzzy-based可以控制系统具有效率及减轻。
的主要目标是确保交通信号控制交叉口安全系统通过保持冲突交通流分开。
最优性能的十字路口相结合的系统工程,环境影响时间价值和交通安全。
我们的目标是优化系统,但是我们需要来决定什么属性和重量将被用来判断最优。
整个的知识的过程中,系统设计者对交通信号控制在这种情况下,被控制的能量储存在规则知识库。
有一个基本的规则从而影响系统的闭环的行为,因此它们应该是获得了彻底。
规则的发展是很耗时,设计师经常需要为他翻译过程知识转化为合适的规则。
Sugeno 提到的四种方法,推导出恶化模糊控制规则:1.运营商经验2:控制工程师的知识2,3,6,7,11,14]3;该主算子的来讲模糊建模的控制措施4.模糊建模的过程5.酥脆的建模过程6;髓启发式的设计规则7;往往在线改编的规则。
通常一个组合这些现象的一些方法是必要的,以获得较好效果。
在常规控制经验,增加设计的模糊控制器,导致减少开发时间。
项目的主要目标是FUSICO-research理论分析的模糊交通信号控制,广义模糊规则的交通信号控制使用语言变量,验证了模糊控制原理和校准的隶属度函数,并发展了一种模糊自适应信号控制器。
vehicle-actuated控制的策略,如SOS,MOV A和LHOVRA是控制算法,对第一代。
模糊控制算法,该算法可以之一的第二代,代的人工智能(AI)。
摘要模糊控制是有能力处理多目标的、多维的和复杂的交通状况,如交通信号。
模糊控制的典型优点是简单的流程,有效１控制,提高产品质量。
3．FUSICO：FUSICO-project塑造出的经验的警察。
这个规则库的发展是在1996年秋季。
j . they Kari正常,经验丰富的交通信号规划师,工作时在赫尔辛基理工大学在这个时间。
每天工作小组讨论,他的经验帮助我们模型对我们的规则。
在特定情况下病理交通拥堵或很少有车辆在循环;在那里first-in-first-out是唯一合理的控制策略。
该算法寻找最相似的实际IF-part输入值,并给出了相应的THEN-part然后被解雇了。
交通信号控制系统三个现实的方法来构造算法和仿真模型检验他们的表现。
要解决问题,类似的仿真Mamdani non-fuzzy和古典风格的模糊推理系统,也是。
结果对车辆和行人延误或平均平均车辆延误,在大多数情况下更好的在模糊相似度为基础的控制比在其他的控制系统。
比较模糊相似度为基础的模糊控制的控制和Mamdani风格也强度的假定,在近似推理过程中时,一个基本概念是多值之间的相似的对象,而不是一种概括规则的推理方式,Ponens经典。
FUSICO项目结果这个计画的结果表明,模糊信号控制的潜力是孤立交叉口控制的一种方法。
比较结果的Pappis-Mamdani控制、模糊孤立的人行过街和模糊两阶段的控制是很不错的。
结果表明,孤立的人行过街的模糊控制提供了有效的两种对立的目标妥协,最低行人延误和最小的车辆的延误。
结果对两相控制和Pappis-Mamdani控制表明,模糊控制应用领域很广。
改进的最大延时超过20%,这意味着模糊控制的效率可以比传统的vehicle-actuated控制的效率。
根据这些结果,我们可以说,模糊信号控制可以多目标和更有效率,比常规自适应信号控制现在。
最大的好处,或许,达到更复杂的十字路口和环境。
这FUSICO-project仍在继续。
目的是将一步步的更复杂的交通信号,并继续对模糊控制理论著作。
第一个例子将公共交通优先考虑的问题。
原文：Intelligent traffic lightsAbstract：Signal control is a necessary measure to maintain the quality and safety of traffic circulation. Further development of present signal control has great potential to reduce travel times, vehicle and accident costs, and vehicle emissions. The development of detection and computer technology has changed traffic signal control from fixed-time open-loop regulation to adaptive feedback control. Present adaptive control methods, like the British MOV A, Swedish SOS (isolated signals) and British SCOOT (area-wide control), use mathematical optimization and simulation techniques to adjust the signal timing to the observed fluctuations of traffic flow２in real time. The optimization is done by changing the green time and cycle lengths of the signals. In area-wide control the offsets between intersections are also changed. Several methods have been developed for determining the optimal cycle length and the minimum delay at an intersection but, based on uncertainty and rigid nature of traffic signal control, the global optimum is not possible to find out.1.Citation：As a result of growing public awareness of the environmental impact of road traffic many authorities are now pursuing policies to:− manage demand and congestion;− influence mode and route choice;− improve priority for buses, trams and other public service vehicles;− provide better and safer facilities for pedestrians, cyclists and other vulnerable road users;− reduce vehicle emissions, noise and visual intrusion; and− improve safety for all road user groups.In adaptive traffic signal control the increase in flexibility increases the number of overlapping green phases in the cycle, thus making the mathematical optimization very complicated and difficult. For that reason, the adaptive signal control in most cases is not based on precise optimization but on the green extension principle. In practice, uniformity is the principle followed in signal control for traffic safety reasons. This sets limitations to the cycle time and phase arrangements. Hence, traffic signal control in practice are based on tailor-made solutions and adjustments made by the traffic planners. The modern programmable signal controllers with a great number of adjustable parameters are well suited to this process. For good results, an experienced planner and fine-tuning in the field is needed. Fuzzy control has proven to be successful in problems where exact mathematical modelling is hard or impossible but an experienced human can control the process operator. Thus, traffic signal control in particular is a suitable task for fuzzy control. Indeed, one of the oldest examples of the potentials of fuzzy control is a simulation of traffic signal control in an inter-section of two one-way streets. Even in this very simple case the fuzzy control was at least as good as the traditional adaptive control. In general, fuzzy control is found to be superior in complex problems with multiobjective decisions. In traffic signal control several traffic flows compete from the same time and space, and different priorities are often set to different traffic flows or vehicle groups. In addition, the optimization includes several simultaneous criteria, like the average and maximum vehicle and pedestrian delays, maximum queue lengths and percentage of stopped vehicles. So, it is very likely that fuzzy control is very competitive in complicated real intersections where the use of traditional optimization methods is problematic.Fuzzy logic has been introduced and successfully applied to a wide range of automatic３control tasks. The main benefit of fuzzy logic is the opportunity to model the ambiguity and the uncertainty of decision-making. Moreover, fuzzy logic has the ability to comprehend linguistic instructions and to generate control strategies based on priori communication. The point in utilizing fuzzy logic in control theory is to model control based on human expert knowledge, rather than to model the process itself. Indeed, fuzzy control has proven to be successful in problems where exact mathematical modelling is hard or impossible but an experienced human operator can control process. In general, fuzzy control is found to be superior in complex problems with multi-objective decisions.At present, there is a multitude of inference systems based on fuzzy technique. Most of them, however, suffer ill-defined foundations; even if they are mostly performing better that classical mathematical method, they still contain black boxes, e.g. de fuzzification, which are very difficult to justify mathematically or logically. For example, fuzzy IF - THEN rules, which are in the core of fuzzy inference systems, are often reported to be generalizations of classical Modus Ponens rule of inference, but literally this not the case; the relation between these rules and any known many-valued logic is complicated and artificial. Moreover, the performance of an expert system should be equivalent to that of human expert: it should give the same results that the expert gives, but warn when the control situation is so vague that an expert is not sure about the right action. The existing fuzzy expert systems very seldom fulfil this latter condition.Many researches observe, however, that fuzzy inference is based on similarity. Kosko, for example, writes 'Fuzzy membership...represents similarities of objects to imprecisely defined properties'. Taking this remark seriously, we study systematically many-valued equivalence, i.e. fuzzy similarity. It turns out that, starting from the Lukasiewicz well-defined many-valued logic, we are able to construct a method performing fuzzy reasoning such that the inference relies only on experts knowledge and on well-defined logical concepts. Therefore we do not need any artificial defuzzification method (like Center of Gravity) to determine the final output of the inference. Our basic observation is that any fuzzy set generates a fuzzy similarity, and that these similarities can be combined to a fuzzy relation which turns out to a fuzzy similarity, too. We call this induced fuzzy relation total fuzzy similarity. Fuzzy IF - THEN inference systems are, in fact, problems of choice: compare each IF-part of the rule base with an actual input value, find the most similar case and fire the corresponding THEN-part; if it is not unique, use a criteria given by an expert to proceed. Based on the Lukasiewicz welldefined many valued logic, we show how this method can be carried out formally.Hypothesis and Principles of Fuzzy Traffic Signal Control Traffic signal control is used to maximize the efficiency of the existing traffic systems [6]. However, the efficiency of traffic system can even be fuzzy. By providing temporal separation of rights of way to approaching４flows, traffic signals exert a profound influence on the efficiency of traffic flow. They can operate to the advantage or disadvantage of the vehicles or pedestrians; depend on how the rights of ways are allocated. Consequently, the proper application, design, installation, operation, and maintenance of traffic signals is critical to the orderly safe and efficient movement of traffic at intersections.In traffic signal control, we can find some kind of uncertainties in many levels. The inputs of traffic signal control are inaccurate, and that means that we cannot handle the traffic of approaches exactly. The control possibilities are complicated, and handling these possibilities are an extremely complex task. Maximizing safety, minimizing environmental aspects and minimizing delays are some of the objectives of control, but it is difficult to handle them together in the traditional traffic signal control. The causeconsequence- relationship is also not possible to explain in traffic signal control. These are typical features of fuzzy control.Fuzzy logic based controllers are designed to capture the key factors for controlling a process without requiring many detailed mathematical formulas. Due to this fact, they have many advantages in real time applications. The controllers have a simple computational structure, since they do not require many numerical calculations. The IFTHEN logic of their inference rules does not require much computational time. Also, the controllers can operate on a large range of inputs, since different sets of control rules can be applied to them. If the system related knowledge is represented by simple fuzzy IFTHEN- rules, a fuzzy-based controller can control the system with efficiency and ease. The main goal of traffic signal control is to ensure safety at signalized intersections by keeping conflict traffic flows apart. The optimal performance of the signalized intersections is the combination of time value, environmental effects and traffic safety. Our goal is the optimal system, but we need to decide what attributes and weights will be used to judge optimality.The entire knowledge of the system designer about the process, traffic signal control in this case, to be controlled is stored as rules in the knowledge base. Thus the rules have a basic influence on the closed-loop behaviour of the system and should therefore be acquired thoroughly. The development of rules is time consuming, and designers often have to translate process knowledge into appropriate rules. Sugeno and Nishida mentioned four ways to derive fuzzy control rules:1. operators experience2. control engineer's knowledge3. fuzzy modelling of the operator's control actions4. fuzzy modelling of the process5. crisp modeling of the process５6. heuristic design rules7. on-line adaptation of the rules.Usually a combination of some of these methods is necessary to obtain good results. As in conventional control, increased experience in the design of fuzzy controllers leads to decreasing development times.3. FUSICOThe main goals of FUSICO-research project are theoretical analysis of fuzzy traffic signal control, generalized fuzzy rules for traffic signal control using linguistic variables, validation of fuzzy control principles and calibration of membership functions, and development of a fuzzy adaptive signal controller. The vehicle-actuated control strategies, like SOS, MOV A and LHOVRA, are the control algorithms of the first generation. The fuzzy control algorithm can be one of the algorithms of the second generation, the generation of artificial intelligence (AI). The fuzzy control is capable of handling multi-objective, multi-dimensional and complicated traffic situations, like traffic signalling. The typical advantages of fuzzy control are simple process, effective control and better quality.FUSICO-project modelled the experience of policeman. The rule base development was made during the fall 1996. Mr. Kari J. Sane, experienced traffic signal planner, was working at the Helsinki University of Technology at this time. Everyday discussions and working groups helped us to model his experience to our rules.In particular pathological traffic jams or situations where there are very few vehicles in circulation; there first-in-first-out is the only reasonable control strategy. The Algorithm is looking for the most similar IF-part to the actual input value, and the corresponding THEN-part is then fired. Three realistic traffic signal control systems were constructed by means of the Algorithm and a simulation model tested their performance. Similar simulations were made to a non-fuzzy and classical Mamdani style fuzzy inference systems, too. The results with respect to average vehicle and pedestrian delay or average vehicle delay were in most cases better on fuzzy similarity based control than on the other control systems. Comparisons between fuzzy similarity based control and Mamdani style fuzzy control also strength an assumption that, in approximate reasoning, a fundamental concept is many-valued similarity between objects rather than a generalization of classical Modus Ponens rule of inference.The results of this project have indicated that fuzzy signal control is the potential control method for isolated intersections. The comparison results of Pappis-Mamdani control, fuzzy isolated pedestrian crossing and fuzzy two-phase control are good. The results of isolated pedestrian crossing indicate that the fuzzy control provides the effective compromise between the two opposing objectives, minimum pedestrian delay and minimum vehicle delay. The results６of two-phase control and Pappis-Mamdani control indicate that the application area of fuzzy control is very wide. The maximum delay improvement was more than 20 %, which means that the efficiency of fuzzy control can be better than the efficiency of traditional vehicle-actuated control.According to these results, we can say that the fuzzy signal control can be multiobjective and more efficient than conventional adaptive signal control nowadays. The biggest benefits can, probably, be achieved in more complicated intersections and environments. The FUSICO-project continues. The aim is to move step by step to more complicated traffic signals and to continue the theoretical work of fuzzy control. The first example will be the public transport priorities.７。