Traffic flow simulation of urban three-lane road considering influence of accident vehicle

doi:10.16265/j.cnki.issn1003-3033.2021.03.016

Abstract

Abstract: In order to explore impact mechanism of accident vehicles on urban three-lane road traffic, firstly, characteristics of traffic flow on such roads were analyzed considering influence of accident vehicles. Then, a traffic flow model of cellular automaton was established which featured left lane priority and active and passive behavior of risky lane changing. Finally, traffic flow evolution along with change of accident durationt_dwas studied when accident vehicle was located on lane M and R respectively. The results show that accident vehicle would cause traffic bottleneck with space-time characteristics of vehicles gathering upstream and sparse vehicles downstream, thus inducing traffic congestion. It has less impact on three-lane traffic than on two-lane traffic, and the same when it is on lane M than on lane R, but the difference of its impact decreases along with increase of p_e.

Key words: accident vehicle, three-lane, traffic flow, behavior of risky lane change, cellular automaton

CLC Number:

X928.02

JI Hao, WANG Yongdong, LI Pei, SU Bing. Traffic flow simulation of urban three-lane road considering influence of accident vehicle[J]. China Safety Science Journal, 2021, 31(3): 112-120.

References

[1] 统计局.2019年年末全国民用汽车保有量26150万辆[EB/OL].[2020-02-28].https://baijiahao.baidu.com/s?id=1659745930298264864&wfr=spider&for=pc.
[2] BENTALAEB K, LAKOUARI N, MARZOUG R, et al. Simulation study of traffic car accidents in single-lane highway[J]. Physica A: Statistical Mechanics and its Applications, 2014,413(11): 473-480.
[3] BORIS S K, SERGEY L K, MICHAEL S. Simple cellular automaton model for trafﬁc breakdown, highway capacity, and synchronized flow[J]. Physical Review E, 2011,84(4): 1-16.
[4] CHEN Jianzhong, PENG Zhiyuan, FANG Yuan. Effects of car accidents on three-lane traffic flow[J]. Mathematical Problems in Engineering,2014,2014: 1-11.
[5] 姬浩, 李佩, 苏兵, 等. 事故车辆影响下的城市道路交通仿真研究[J]. 中国安全生产科学技术, 2019,15(2): 25- 31.
JI Hao, LI Pei, SU Bing, et al. Research on urban road traffic evolutionary based on accident vehicle[J]. Journal of Safety Science and Technology, 2019,15(2): 25-31.
[6] 刘霞, 胡凯, 龚鹏. 基于元胞自动机的事故交通流模型仿真[J]. 解放军理工大学学报:自然科学版, 2017,18(3): 285-288.
LIU Xia, HU Kai, GONG Peng. Simulation of accident traffic flow model based on cellular automata[J]. Journal of PLA University of Science and Technology:Natural Science Edition, 2017,18(3): 285-288.
[7] OU Hui, TANG Tieqiao. An extended two-lane car-following model accounting for inter-vehicle communication[J]. Physica A.Statistical Mechanics and its Applications, 2018,495: 260-268.
[8] 江欣国, 任瀚堃, 范英飞, 等. 信号协调控制干线交通安全仿真分析[J]. 中国安全科学学报, 2020,30(3): 143-149.
JIANG Xinguo, REN Hankun, FAN Yingfei, et al. Simulation analysis on traffic safety of signal-coordinated arteries[J]. China Safety Science Journal, 2020,30(3): 143-149.
[9] 张杉, 庞明宝, 任泊宁. 冰雪道路环境下交通流微观仿真及事故率研究[J]. 中国安全科学学报, 2020,30(1): 148-154.
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.
[10] OKETCH T G. New modeling approach for mixed- traffic streams with nonmotorized vehicles[J]. Transportation Research Record Journal of the Transportation Research Board, 2000, 1705(1): 61-69.
[11] JIA Bin, JIANG Rui, WU Qingsong. The traffic bottleneck effects caused by the lane closing in the cellular automata model[J]. International Journal of Modern Physics C, 2003,14(10): 1 295-1 303.
[12] 赵康嘉,陈淑燕.基于元胞自动机的交通事件交通流仿真模型[J].公路交通科技, 2014,31(3): 133-138.
ZHAO Kangjia,CHEN Shuyan. Cellular automaton based traffic flow simulation model for traffic incidents[J]. Journal of Highway and Transportation Research and Development, 2014, 31(3): 133-138.

[1]	XIONG Xiaoxia, LIU Qingchao, SHEN Yujie, CAI Yingfeng, CHEN Long. Study on risk model of highway traffic accidents based on LSTM-BF [J]. China Safety Science Journal, 2022, 32(5): 170-176.
[2]	YAO Zhihong, JIN Yuting, WANG Sichen, HU Lu, JIANG Yangsheng. Stability and safety analysis on traffic flow mixed with ICV [J]. China Safety Science Journal, 2021, 31(10): 136-143.
[3]	LI Changhua, HE Haitong, LI Zhijie, ZHANG Jie. Simulation of personal evacuation in smoke scenario [J]. China Safety Science Journal, 2020, 30(4): 86-92.
[4]	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.
[5]	SHI Xueying, SUN Zhicheng, ZHU Tong. Mesoscopic traffic flow simulation based on heterogeneous driving behaviors and collision [J]. China Safety Science Journal, 2019, 29(9): 64-69.
[6]	FENG Cheng, YANG Jing, ZHANG Hongliang, FENG Huandong. Research on pedestrian evacuation simulation in rail transit station based on combined model [J]. China Safety Science Journal, 2019, 29(8): 49-54.
[7]	CHEN Liang, HE Zhichao, LI Qiaoru, HE Tao. Study on congestion mechanism in multi-lane weaving section ofurban expressway [J]. China Safety Science Journal, 2018, 28(6): 73-78.
[8]	GAO Guoping, GUAN Changsheng. A helping behavior-considering cellular automaton model for evacuation from a building [J]. China Safety Science Journal, 2018, 28(1): 56-61.
[9]	XIA Zhenghong, WAN Jian, ZHU Xinping. Research on spatial and temporal distribution characteristics of airport hotspots and airport operational risk assessment [J]. China Safety Science Journal, 2018, 28(1): 93-98.
[10]	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.
[11]	YANG Yue , HU Bin , ZHAO Lu. Programming of contingency route based on air traffic flow time series and hierarchical clustering [J]. China Safety Science Journal, 2017, 27(2): 163-168.
[12]	WANG Qiquan, WANG Hongpeng. A scenario construction based study on emergency evacuation in hazardous chemicals accident [J]. China Safety Science Journal, 2017, 27(12): 147-152.
[13]	. Traffic Flow Evolvement Identification Method Based on Gamma Distribution Change-point Test [J]. China Safety Science Journal, 2013, 23(6): 86-.