雾天高速公路车辆跟驰安全分析与控制策略

doi:10.13229/j.cnki.jdxbgxb.20230634

吉林大学学报(工学版) ›› 2025, Vol. 55 ›› Issue (4): 1241-1249.doi: 10.13229/j.cnki.jdxbgxb.20230634

• 交通运输工程·土木工程 • 上一篇下一篇

雾天高速公路车辆跟驰安全分析与控制策略

秦严严¹(),肖腾飞¹,罗钦中¹,王宝杰²()

^1.重庆交通大学交通运输学院，重庆 400074
^2.生态安全屏障区交通网设施管控及循环修复技术交通运输行业重点实验室（长安大学），西安 710064

收稿日期:2023-06-20 出版日期:2025-04-01 发布日期:2025-06-19
通讯作者: 王宝杰 E-mail:qinyanyan@cqjtu.edu.cn;wangbj2@163.com
作者简介:秦严严（1989-），男，副教授，博士.研究方向：交通流理论与应用.E-mail：qinyanyan@cqjtu.edu.cn
基金资助:
生态安全屏障区交通网设施管控及循环修复技术交通运输行业重点实验室（长安大学）开放基金项目(300102343505);国家自然科学基金项目(52002044);重庆交通大学研究生科研创新项目(CYS240478)

Car-following safety analysis and control strategy for foggy freeway

Yan-yan QIN¹(),Teng-fei XIAO¹,Qin-zhong LUO¹,Bao-jie WANG²()

^1.School of Traffic and Transportation，Chongqing Jiaotong University，Chongqing 400074，China
^2.Key Laboratory of Transport Industry of Management，Control and Cycle Repair Technology for Traffic Network Facilities in Ecological Security Barrier Area（Chang'an University），Xi'an 710064，China

Received:2023-06-20 Online:2025-04-01 Published:2025-06-19
Contact: Bao-jie WANG E-mail:qinyanyan@cqjtu.edu.cn;wangbj2@163.com

摘要/Abstract

摘要：

针对雾天环境高速公路车辆跟驰安全进行了研究，并提出了基于车车通信（Vehicle-to-vehicle，V2V）环境的雾天跟驰安全提升策略。首先，选取雾天跟驰模型描述雾天车辆跟驰行为，设计数值仿真实验，分析不同雾天浓度和限速条件对车辆追尾碰撞风险的影响。然后，对仿真实验中的碰撞时间阈值TTC ^*，车队初始速度v和头车刚观测到事故发生点时头车与事故点的距离L进行参数敏感性分析。最后，基于雾天V2V环境，考虑速度差对跟驰行为的影响作用，提出雾天场景下的高速公路跟驰安全控制策略。研究结果表明：轻雾场景和浓雾场景分别在限速60 km/h和100 km/h时车辆追尾碰撞风险最高，轻雾场景在限速40 km/h和80 km/h时车辆追尾碰撞风险最低，浓雾场景在限速60 km/h时车辆追尾碰撞风险最低。车辆追尾碰撞风险与车队初始速度v和碰撞时间阈值TTC^*呈正相关，与头车刚观测到事故发生点时头车与事故点的距离L呈负相关。本文控制策略能有效降低雾天高速公路车辆追尾碰撞风险，在置信水平为95%的情况下，车辆追尾碰撞风险降低幅度显著，在不同雾天浓度和限速条件下，车辆追尾碰撞风险可降低36.70%~45.14%。

关键词: 交通运输系统工程, 交通安全, 跟驰模型, 雾天场景, 控制策略

Abstract:

This paper studies the freeway car-following safety in foggy weather. Then a control strategy for freeway car-following safety in foggy weather is proposed based on vehicle-to-vehicle（V2V） communications. Firstly， a foggy car-following model was selected to describe the car-following behavior in foggy weather. Numerical simulation was designed to analyze the influence of different foggy scenes and speed limit conditions on the risk of rear-end collision. Then we conducted sensitivity analyses on the collision time threshold TTC*， the initial speed v of the fleet and the distance L between the lead vehicle and the accident point when the lead vehicle just observed the accident point. Finally， considering the influence of speed difference between the vehicle and preceding vehicle on car-following behavior， a car-following safety control strategy was proposed based on foggy V2V conditions. The results show that the speed limit values of 60 km/h and 100 km/h will lead to the maximum risk of rear-end collision under light fog and heavy fog conditions， respectively. The light fog has the minimum risk of rear-end collision when 40 km/h and 80 km/h are selected as the speed limit value. The heavy fog has the minimum risk of rear-end collision when 60 km/h is selected as the speed limit value. The risk of rear-end collision is positively correlated with the initial speed v of the fleet and collision time threshold TTC*， and negatively correlated with the distance L between the lead vehicle and the accident point when the lead vehicle just observed the accident point. The proposed control strategy can effectively reduce the risk of rear-end collision and improve the car-following safety in foggy weather. Under the confidence level of 95%， the risk of rear-end collision was significantly reduced. The risk of rear-end collision could be reduced by 36.70%~45.14% under different foggy scenes and speed limit conditions.

Key words: engineering of communication and transportation system, traffic safety, car-following model, foggy weather, control strategy

中图分类号:

U491

秦严严,肖腾飞,罗钦中,王宝杰. 雾天高速公路车辆跟驰安全分析与控制策略[J]. 吉林大学学报(工学版), 2025, 55(4): 1241-1249.

Yan-yan QIN,Teng-fei XIAO,Qin-zhong LUO,Bao-jie WANG. Car-following safety analysis and control strategy for foggy freeway[J]. Journal of Jilin University(Engineering and Technology Edition), 2025, 55(4): 1241-1249.

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雾天浓度	限速/（km·h^-1）	a_n /（m·s^-2）	b_n /（m·s^-2）	b_n_-1/（m·s^-2）	T_n /s	d/m
轻雾（能见度150 m）	40	1.354	-3.718	-3.528	0.947	6.567
	60	1.792	-3.539	-3.893	1.150	5.938
	80	2.574	-3.940	-2.958	1.493	6.238
	100	2.809	-3.694	-2.867	1.636	6.153
浓雾（能见度60 m）	40	2.256	-3.557	-3.637	0.943	6.682
	60	2.296	-3.460	-3.644	1.064	7.188
	80	2.530	-2.967	-2.907	1.176	6.290
	100	3.330	-3.719	-3.210	1.504	5.721

雾天浓度	限速/（km·h^-1）	TET	TIT
轻雾	40	19.72	10.93
	60	90.29	52.66
	80	18.29	11.48
	100	21.42	13.73
浓雾	40	22.74	11.75
	60	13.75	6.36
	80	27.87	15.67
	100	51.03	36.27

雾天浓度	限速/（km·h^-1）	TET
雾天浓度	限速/（km·h^-1）	TTC^*=2 s	TTC^*=2.5 s	TTC^*=3 s	TTC^*=3.5 s	TTC^*=4 s
轻雾	40	3.12	9.76	19.72	34.65	53.95
	60	15.84	44.40	90.29	119.20	141.23
	80	4.21	10.27	18.29	28.95	41.97
	100	5.00	11.87	21.42	33.79	49.16
浓雾	40	2.99	10.15	22.74	41.78	69.36
	60	1.19	5.65	13.75	26.76	45.90
	80	4.90	13.80	27.87	48.77	77.05
	100	14.22	29.17	51.03	79.34	115.49

雾天浓度	限速/（km·h^-1）	TIT
雾天浓度	限速/（km·h^-1）	TTC^*=2 s	TTC^*=2.5 s	TTC^*=3 s	TTC^*=3.5 s	TTC^*=4 s
轻雾	40	0.65	3.71	10.93	24.36	46.33
	60	4.59	18.80	52.66	105.46	170.74
	80	1.08	4.50	11.48	23.13	40.69
	100	1.40	5.53	13.73	27.40	48.03
浓雾	40	0.58	3.73	11.75	27.57	54.95
	60	0.13	1.67	6.36	16.27	34.14
	80	1.09	5.50	15.67	34.54	65.63
	100	5.89	16.58	36.27	68.29	116.28

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雾天高速公路车辆跟驰安全分析与控制策略

Car-following safety analysis and control strategy for foggy freeway

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