Microscopic simulation and accident probability of traffic flow in ice and snow environment

doi:10.16265/j.cnki.issn1003-3033.2020.01.023

Abstract

Abstract: In order to provide more scientific decision support for traffic control so as to improve driving safety under ice and snow conditions, vehicle force and driving behaviors were analyzed, and possible rear-end collision and side-slip accidents were discussed based on drivers' characteristics. Then, a CAM of two-lane one-way possible traffic accidents under ice and snow conditions was established. Finally, through traffic simulation, this model was validated, and flow-density characteristics and accident probability with control measures were analyzed. The results indicate that different measures should be taken to reduce accident probability according to specific ice and snow conditions and road geometry. It can be reduced by 41.02% through using deicing salt and setting speed limit on horizontal road covered with smooth ice film, and more than 34.20% if different speed limits were set on horizontal road in other ice and snow environment. It can also be reduced effectively by using deicing salt combined with classified speed-limiting measures on longitudinal slope road. And anti-skid chains or winter tires should be installed for vehicles on longitudinal slope road under smooth ice film so as to improve driving safety.

Key words: cellular automaton model (CAM), traffic flow simulation, ice and snow road, rear-end and side-slip accidents, attachment coefficient

CLC Number:

X928.02

ZHANG Shan, PANG Mingbao, REN Boning. Microscopic simulation and accident probability of traffic flow in ice and snow environment[J]. China Safety Science Journal, 2020, 30(1): 148-154.

References

[1] 赵玮,徐良杰,冉斌, 等. 基于Adaptive Lasso及RF算法的冰雪天气交通事故分析[J].中国安全科学学报, 2017,27(2): 98-103.
ZHAO Wei, XU Liangjie, RAN Bin, et al. Analyzing traffic crash under iced and snow weather condition based on Adaptive Lasso and RF [J].China Safety Science Journal, 2017,27(2): 98-103.
[2] SEEHERMAN J, LIU Yi. Effects of extraordinary snowfall on traffic safety[J]. Accident Analysis & Prevention, 2015,81: 194-203.
[3] 李慧云. 冰雪条件下公路限速研究[D].哈尔滨: 哈尔滨工业大学, 2012.
LI Huiyun. Research on the highway speed limitation under the condition of ice and snow [D]. Harbin: Harbin Institute of Technology, 2012.
[4] WAN Haifeng, LIU Zhen, WANG Haocheng. Rear-end and lane-changing collisions avoidance theoretical models of the multi-lane freeway in disaster weather [J]. Procedia-Social and Behavioral Sciences, 2013,96: 70-81.
[5] 赵韩涛, 聂涔, 李静茹. 冰雪条件下的交通流元胞自动机模型[J]. 交通运输系统工程与信息, 2015,15(1): 87-92.
ZHAO Hantao, NIE Cen, LI Jingru.Cellular automaton model for traffic flow under ice and snowfall conditions [J]. Journal of Transportation Systems Engineering and Information Technology, 2015,15(1): 87-92.
[6] PANG Mingbao, ZHENG Shasha, CAI Zhanghui. Simulation of three lanes one-way freeway in low visibility weather by possible traffic accidents [J]. Physica A Statistical Mechanics & Its Applications, 2015,433: 161-170.
[7] 庞明宝,任泊宁. 高速公路弯道雨天可能交通事故的CA模型仿真[J].中国安全科学学报, 2017,27(7): 24-29.
PANG Mingbao, REN Boning.Simulation of possible traffic accident in rainy weather on freeway curve using CA model[J].China Safety Science Journal, 2017,27(7): 24-29.
[8] PANG Mingbao, REN Boning. Effects of rainy weather on traffic accidents of a freeway using cellular automata model [J]. Chinese Physics B, 2017,26(10): 1-11.
[9] 徐吉谦, 陈学武. 交通工程总论[M]. 北京: 人民交通出版社, 2009: 229-233.
[10] 张勇刚, 胡三根, 邝先验. 基于人-车-路环境下的车辆跟驰模型[J]. 公路, 2015(3): 139-145.
ZHANG Yonggang, HU Sangen, KUANG Xianyan. Car-following model based on driver-vehicle-road system [J]. Highway, 2015(3): 139-145.
[11] WALLMAN C G, ÅSTRÖM H. Friction measurement methods and the correlation between road friction and traffic safety [R]. Swedish National Road and Transport Research Institute, 2001.
[12] 吉文超. 基于驾驶行为分析的城市道路车辆换道模型研究[D].哈尔滨: 哈尔滨工业大学, 2018.
JI Wenchao. Research on urban road lane changing model based on analysis of driving [D].Harbin: Harbin Institute of Technology, 2018.

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