美赛:25142---数模英文论文

美赛:25142---数模英文论文
美赛:25142---数模英文论文

For office use only Team Control Number

For office use only 25142

T1 ________________F1 ________________

T2 ________________

Problem Chosen F2 ________________

T3 ________________F3 ________________

A

T4 ________________F4 ________________

2014

Mathematical Contest in Modeling (MCM/ICM) Summary Sheet

Freeway Traffic Model Based on Cellular

Automata and Monte-Carlo Method

Summary

Based on Cellular Automata and Monte-Carlo method, we build a model to discuss the influence of the “Keep right except to pass” rule. First we break down the process of vehicle movement and establish corresponding sub-models, inflow model for car-generation, vehicle-following model for one vehicle following another, and overtaking model for one vehicle passing another.

Then we design rules to simulate the movement of vehicles in sub-models. We further discuss rules for our model to adapt to the keep-right situation, the unrestricted situation, and the situation where transportation is controlled by intelligent system. We also design a formula to evaluate the danger index of the road.

We simulate the traffic on two-lane freeway (two lanes per direction, four lanes in total), and three-lane freeway (three lanes per direction, six lanes in total) via computer and analyze the data. We record the average velocity, overtaking rate, road density and danger index and assess the performance of the keep-right rule by comparison with the unrestricted rule. We vary the upper speed limitations to analyze the sensitivity of the model and see the impacts of different upper speed limits. Left-hand traffic is also discussed.

Based on our analysis, we come up with a new rule combining the two existing rules (the keep-right rule and the unrestricted rule) for an intelligent system to achieve better performance.

Team # 25142Page 2 of 34

Contents

1 Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4

1.1 Terminology . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5

1.2 Assumptions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5

2 The Models . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6

2.1 Design of Cellular Automata . . . . . . . . . . . . . . . . . . . . . 6

2.2 Inflow Model . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7

2.3 Vehicle-Following Model . . . . . . . . . . . . . . . . . . . . . . . . 8

2.4 Overtaking Model . . . . . . . . . . . . . . . . . . . . . . . . . . . . 10

2.4.1 Overtaking Probability . . . . . . . . . . . . . . . . . . . . . 10

2.4.2 Overtaking Condition . . . . . . . . . . . . . . . . . . . . . 10

2.4.3 Danger Index . . . . . . . . . . . . . . . . . . . . . . . . . . 11

2.5 Two Sets of Rules for CA Model . . . . . . . . . . . . . . . . . . . . 13

2.5.1 Keep Right Except to Pass Rule . . . . . . . . . . . . . . . . 13

2.5.2 Unrestricted Rule . . . . . . . . . . . . . . . . . . . . . . . . 14

3 Supplementary Analysis on the Model . . . . . . . . . . . . . . . . . . 14

3.1 Design of the Acceleration and Deceleration Probability Distribu-

tions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 14

3.2 Design to Avoid Collision . . . . . . . . . . . . . . . . . . . . . . . 14

4 Model Implementation with Computer . . . . . . . . . . . . . . . . . . 15

5 Data Analysis and Model Validation . . . . . . . . . . . . . . . . . . . 16

5.1 Average Velocity . . . . . . . . . . . . . . . . . . . . . . . . . . . . 16

Team # 25142Page 3 of 34

5.2 Average Velocity of Fast Cars . . . . . . . . . . . . . . . . . . . . . 17

5.3 Density . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 18

5.4 Overtaking Rate . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 19

5.5 Danger Index . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 19

6 Sensitivity Evaluation of the Model under Different Speed Limitations 20

7 Driving on the Left . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 21

8 Transportation under Intelligent System . . . . . . . . . . . . . . . . . 21

8.1 New Rule for Intelligent System . . . . . . . . . . . . . . . . . . . . 21

8.2 Adaption of the Model . . . . . . . . . . . . . . . . . . . . . . . . . 22

8.3 Result of Intelligent System . . . . . . . . . . . . . . . . . . . . . . 23

9 Conclusions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 23

10 Strengths and Weaknesses . . . . . . . . . . . . . . . . . . . . . . . . . 25

10.1 Strengths . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 25

10.2 Weakness . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 25

References . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 26

Appendices . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 26

Team # 25142Page 4 of 34 1Introduction

Today, about 65% of the world’s population live in countries with right-hand traffic and 35% in countries with left-hand traffic. [worldstandards.eu,2013] In countries with right-hand traffic, like USA and China, regulations request driv-ing and walking keep to the right side of the road. Multi-lane freeways in these countries often employ a rule that requires drivers to drive in the right-most lane unless they are passing another vehicle, in which case they move one lane to the left, pass, and return to their former travel lane. This rule on driving and overtaking is referred to as the ”Keep right except to pass” rule, or the keep-right rule in our paper. The rule in countries with left-hand traffic is exactly mirror symmetrical to the keep-r ight rule(”Keep left except to pass”). So, what’s the purpose of applying such a rule? Does the keep-right rule ameliorate the freeway traffic condition? Transportation free of the restriction of the keep-right rule (Vehicles can choose either side for overtaking.) is referred to as obeying the unrestricted rule. How does the keep-right rule perform comparing with the unrestricted rule?

Based on the Cellular Automata model and the Monte Carlo algorithm, we establish a model to simulate freeway traffic under different conditions (under the keep-right rule or the unrestricted rule, in light traffic or in heavy traffic, 2-lane or 3-lane per direction). Our model is divided into 3 sub-models the in-flow model, the vehicle-following model and the overtaking model. The inflow model employs the Poisson probability distribution for the simulation of the vehicle-generation process. The vehicle-following model introduces a special probability distribution model which makes the simulation of the process of a car following another more realistic. The overtaking model simulates the over-taking behavior and defines the danger index to evaluate the safety risk of a certain freeway. We also build an extended model for transportation under the control of an intelligent system.

We implement the model in MATLAB, and obtain sufficient data. We test the average velocity, the density, the overtaking rate and the danger index, analyze their properties and assess the performance of the keep-right rule by comparison with the unrestricted rule. In addition, we analyze the sensitivity of our model under different speed limits. It turns out that our model is robust.

Then we come to our conclusions which consist with common sense. We also put forward a new rule for transportation under the control of an intelligent system.

Team # 25142Page 5 of 34

Table 1: Notation

Symbol Meaning

V current velocity of the vehicle

V m maximum velocity of the vehicle

V l the upper speed limit of the freeway

V

0the velocity before overtaking

V1the velocity in the overtaking process

G the distance between a vehicle and the vehicle ahead of it

G s the minimum gap required for safety consideration

G0the minimum gap after the vehicle stops

T

r PIEV time(human reaction time)

P o the overtaking probability

P

a the acceleration probability

P

b the deceleration probability

f the frictional force when braking

d danger index in on

e overtaking event

D danger index of the road system

athe acceleration during overtaking

a

p the component parallel to the lane of acceleration during overtaking a

d th

e available deceleration

1.1Terminology

Two-lane road: Two lanes on right-half of the road, four lanes in total.

Three-lane road: Three lanes on right-half of the road, six lanes in total.

Danger index: An index designed in our paper to evaluate the danger of the road system.

Minimum safety gap: The distance between two vehicles that deemed

safe enough in our model.

Keep-right rule:Keep right except to pass rule.

Unrestricted rule:Vehicles are not restricted and can overtake others

from either side.

Free-driving style:When there is no vehicles nearby, drivers will not accel-erate or decelerate deliberately,but the speed will still fluctuate slightly.

1.2Assumptions

The road is straight and there is no bypass.

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数学建模美赛o奖论文

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数学建模美赛2012MCM B论文

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数学建模论文格式官方要求

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Team Control Number For office use only 13215 For office use only T1 ________________ F1 ________________ T2 ________________ F2 ________________ T3 ________________ Problem Chosen F3 ________________ T4 ________________ F4 ________________ C 2012 Mathematical Contest in Modeling (MCM) Summary Sheet (Attach a copy of this page to each copy of your solution paper.) Type a summary of your results on this page. Do not include the name of your school, advisor, or team members on this page. Message Network Modeling for Crime Busting Abstract A particularly popular and challenging problem in crime analysis is to identify the conspirators through analysis of message networks. In this paper, using the data of message traffic, we model to prioritize the likelihood of one’s being conspirator, and nominate the probable conspiracy leaders. We note a fact that any conspirator has at least one message communication with other conspirators, and assume that sending or receiving a message has the same effect, and then develop Model 1, 2 and 3 to make a priority list respectively and Model 4 to nominate the conspiracy leader. In Model 1, we take the amount of one’s suspicious messages and one’s all messages with known conspirators into account, and define a simple composite index to measure the likelihood of one’s being conspirator. Then, considering probability relevance of all nodes, we develop Model 2 based on Law of Total Probability . In this model, probability of one’s being conspirator is the weight sum of probabilities of others directly linking to it. And we develop Algorithm 1 to calculate probabilities of all the network nodes as direct calculation is infeasible. Besides, in order to better quantify one’s relationship to the known conspirators, we develop Model 3, which brings in the concept “shortest path” of graph theory to create an indicator evaluating the likelihood of one’s being conspirator which can be calculated through Algorithm 2. As a result, we compare three priority lists and conclude that the overall rankings are similar but quite changes appear in some nodes. Additionally, when altering the given information, we find that the priority list just changes slightly except for a few nodes, so that we validate the models’ stability. Afterwards, by using Freeman’s centrality method, we develop Model 4 to nominate three most probable leaders: Paul, Elsie, Dolores (senior manager). What’s more, we make some remarks about the models and discuss what could be done to enhance them in the future work. In addition, we further explain Investigation EZ through text and semantic network analysis, so to illustrate the models’ capacity of applying to more complicated cases. Finally, we briefly state the application of our models in other disciplines.

全国大学生数学建模竞赛论文格式规范

全国大学生数学建模竞赛论文格式规范 ●本科组参赛队从A、B题中任选一题,专科组参赛队从C、D题中任选一题。(全国 评奖时,每个组别一、二等奖的总名额按每道题参赛队数的比例分配;但全国一等奖名额的一半将平均分配给本组别的每道题,另一半按每道题参赛队比例分配。) ●论文用白色A4纸单面打印;上下左右各留出至少2.5厘米的页边距;从左侧装订。 ●论文第一页为承诺书,具体内容和格式见本规范第二页。 ●论文第二页为编号专用页,用于赛区和全国评阅前后对论文进行编号,具体内容和 格式见本规范第三页。 ●论文题目、摘要和关键词写在论文第三页上,从第四页开始是论文正文,不要目录。 ●论文从第三页开始编写页码,页码必须位于每页页脚中部,用阿拉伯数字从“1”开 始连续编号。 ●论文不能有页眉,论文中不能有任何可能显示答题人身份的标志。 ●论文题目用三号黑体字、一级标题用四号黑体字,并居中;二级、三级标题用小四 号黑体字,左端对齐(不居中)。论文中其他汉字一律采用小四号宋体字,行距用单倍行距。打印文字内容时,应尽量避免彩色打印(必要的彩色图形、图表除外)。 ●提请大家注意:摘要应该是一份简明扼要的详细摘要(包括关键词),在整篇论文 评阅中占有重要权重,请认真书写(注意篇幅不能超过一页,且无需译成英文)。 全国评阅时将首先根据摘要和论文整体结构及概貌对论文优劣进行初步筛选。 ●论文应该思路清晰,表达简洁(正文尽量控制在20页以内,附录页数不限)。 ●在论文纸质版附录中,应给出参赛者实际使用的软件名称、命令和编写的全部计算 机源程序(若有的话)。同时,所有源程序文件必须放入论文电子版中备查。论文及程序电子版压缩在一个文件中,一般不要超过20MB,且应与纸质版同时提交。 ●引用别人的成果或其他公开的资料(包括网上查到的资料) 必须按照规定的参考文 献的表述方式在正文引用处和参考文献中均明确列出。正文引用处用方括号标示参考文献的编号,如[1][3]等;引用书籍还必须指出页码。参考文献按正文中的引用次序列出,其中书籍的表述方式为: ●[编号] 作者,书名,出版地:出版社,出版年。 ●参考文献中期刊杂志论文的表述方式为: ●[编号] 作者,论文名,杂志名,卷期号:起止页码,出版年。 ●参考文献中网上资源的表述方式为: ●[编号] 作者,资源标题,网址,访问时间(年月日)。 ●在不违反本规范的前提下,各赛区可以对论文增加其他要求(如在本规范要求的第 一页前增加其他页和其他信息,或在论文的最后增加空白页等);从承诺书开始到论文正文结束前,各赛区不得有本规范外的其他要求(否则一律无效)。 ●本规范的解释权属于全国大学生数学建模竞赛组委会。

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