Influence of Vehicle-to-vehicle Communication on Traffic Accidents in Heavy Fog Weather

Journal of Transportation Systems Engineering and Information Technology ›› 2016, Vol. 16 ›› Issue (4): 109-116.

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Influence of Vehicle-to-vehicle Communication on Traffic Accidents in Heavy Fog Weather

CHEN Yu-feng1, XIANG Zheng-tao1, YAN Peng1, DONG Ya-bo2, XIA Ming3

1. School of Electrical and Information Engineering，Hubei University of Automotive Technology，Shiyan 442002，Hubei， China; 2. College of Computer Science and Technology，Zhejiang University，Hangzhou 310027，China; 3. College of Computer Science and Technology，Zhejiang University of Technology，Hangzhou 310023，China

Received:2016-01-22 Revised:2016-03-21 Online:2016-08-25 Published:2016-08-26

浓雾环境下车车通信对交通事故的影响分析

陈宇峰1，向郑涛*1，闫蓬1，董亚波2，夏明3

1. 湖北汽车工业学院电气与信息工程学院，湖北十堰442002；2. 浙江大学计算机科学与技术学院，杭州310027； 3. 浙江工业大学计算机科学与技术学院，杭州310023

作者简介:陈宇峰(1973-), 女, 陕西户县人, 教授, 博士.
基金资助:
国家科技支撑计划/ National Sci-Tech Support Plan of the Ministry of Science and Technology of China (2014BAG01B02, 2014BAG01B03)；国家自然科学基金/ National Natural Science Foundation of China(61401397)；湖北省自然科学基金/ Natural Science Foundation of Hubei Province (2013CFA054, 2014CFB287)；浙江省自然科学基金/ Natural Science Foundation of Zhejiang Province (LY14F020020)；湖北省教育厅科学技术研究计划重点项目/ Key Program of Science and Technology of Hubei Provincial Department of Education(D20141804)；汽车动力传动与电子控制湖北省重点实验室开放基金/ Key Laboratory of Automotive Power Train and Electronics(ZDK1201406).

Abstract

Abstract:

With fog environment，drivers present different driving behaviors compared with normal weather，which may bring security threats to drivers. To ensure traffic security，traffic management department will close highway when heavy fog occurs，which makes people inconvenient. The traditional visual based and vehicle-to-vehicle communication based driving-behavior modes are analyzed firstly. Based on the driving-behavior modes，the traffic flow cellular automaton models are proposed. Simulation results show that vehicle- to- vehicle communication technology can decrease the local compact effect，which can decrease the traffic accident probability effectively. The traffic accident probability with vehicle- to- vehicle communication decreases much in low density. The research results can provide reference to the continue release of highway when heavy fog occurs if the vehicle-to-vehicle communication technology is used.

Key words: highway transportation, traffic flow, cellular automaton model, traffic accident, heavy fog

摘要：

雾天环境下驾驶员会表现出和正常天气不同的驾驶行为，给行车安全带来威胁.为保证交通安全，交通管理部门在浓雾环境下关闭高速公路，给人们出行带来不便.分析浓雾环境下基于传统目视和基于车车通信的驾驶行为，建立了交通流元胞自动机模型. 模拟结果表明：车车通信能够有效减少车辆分布的“局部聚集效应”，从而大大降低交通事故率；当车辆密度较小时，交通事故率的降低效应尤其明显.本文的研究为高速公路在浓雾环境下采用车车通信技术实现车辆连续放行提供参考.

关键词: 公路运输, 交通流, 元胞自动机模型, 交通事故, 浓雾

CLC Number:

U491.3

CHEN Yu-feng, XIANG Zheng-tao, YAN Peng, DONG Ya-bo, XIA Ming. Influence of Vehicle-to-vehicle Communication on Traffic Accidents in Heavy Fog Weather[J]. Journal of Transportation Systems Engineering and Information Technology, 2016, 16(4): 109-116.

陈宇峰，向郑涛，闫蓬，董亚波，夏明. 浓雾环境下车车通信对交通事故的影响分析[J]. 交通运输系统工程与信息, 2016, 16(4): 109-116.

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References

[1] BROOKS J O，CRISLER M C，KLEIN N，et al. Speed choice and driving performance in simulated foggy conditions[J]. Accident Analysis and Prevention，2011 (43): 698-705.

[2] SHI J，TAN J H. Effect analysis of intermittent release measures in heavy fog weather with an improved CA model[J]. Discrete Dynamics in Nature and Society，
2013: 812562.
[3] SNOWDEN R J，STIMPSON N，RUDDLE R A. Speed perception fogs up as visibility drops[J]. Nature，1998(392): 450-450.
[4] EVANS L，ROTHERY R. The influence of forward vision and target size on apparent inter-vehicular spacing[J]. Transportation Science，1976(10): 85-101.
[5] CARO S，CAVALLO V，MARENDAZ C，et al. Can headway reduction in fog be explained by impaired perception of relative motion?[J]. Human Factors，2009
(51): 378-392.
[6] BROUGHTON K L M，SWITZER F，SCOTT D. Car following decisions under three visibility conditions and two speeds tested with a driving simulator[J]. Accident Analysis and Prevention，2007(39): 106-116.
[7] 华雪东，王炜，王昊. 考虑车与车互联通讯技术的交通流跟驰模型[J]. 物理学报，2016，65(1): 010502.[HUA X D，WANG W，WANG H. A car-following model with the consideration of vehicle-to-vehicle communication technology[J]. Acta Physica Sinica，2016，65(1): 010502.]
[8] XIANG Z T，LI Y J，CHEN Y F，et al. Simulating synchronized traffic flow and wide moving jam based on the brake light rule[J]. Physica A，2013(392): 5399-5413.
[9] NAGEL K， SCHRECKENBERG M. A cellular automaton model for freeway traffic[J]. Journal de Physique I，1992(2): 2221-2229.
[10] BOCCARA N，FUKS H，ZENG Q. Car accidents and number of stopped cars due to road blockage on a onelane highway[J]. Journal of Physics A，1997(30): 3329-3332.
[11] YANG X Q，MA Y Q. Car accidents in the deterministic and nondeterministic Nagel- Schreckenberg models[J]. Modern Physics Letters B，2002(16): 333-344.
[12] Transportation Research Board. HCM2010: Highway capacity manual[M]. Washington DC: Transportation Research Board，2010.
[13] 陶立. 机动车驾驶员不当驾驶行为特征与判别指标分析[D]. 北京: 清华大学，2012. [TAO L. Research on drivers’aberrant driving behavior styles and their discriminant indices[D]. Beijing: Tsinghua University，2012.]
[14] MOUSSA N. Car accidents in cellular automata models for one-lane traffic flow[J]. Physical Review E，2003(68): 036127.

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Influence of Vehicle-to-vehicle Communication on Traffic Accidents in Heavy Fog Weather

浓雾环境下车车通信对交通事故的影响分析

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