中文核心期刊
CSCD来源期刊
中国科技核心期刊
RCCSE中国核心学术期刊

重庆交通大学学报(自然科学版) ›› 2023, Vol. 42 ›› Issue (7): 96-105.DOI: 10.3969/j.issn.1674-0696.2023.07.13

• 交通基础设施工程 • 上一篇    

高速公路雨天环境下车辆跟驰行为安全风险分析

秦严严,朱立,朱宜文,唐鸿辉   

  1. (重庆交通大学 交通运输学院,重庆 400074)
  • 收稿日期:2022-03-02 修回日期:2022-08-19 发布日期:2023-09-08
  • 作者简介:秦严严(1989—),男,江苏沛县人,副教授,博士,主要从事交通运输与安全方面的研究。E-mail:qinyanyan@cqjtu.edu.cn
  • 基金资助:
    重庆市社会科学规划项目(2019BS074)

Safety Risk Analysis of Car-Following Behavior on Highway in Rainy Environment

QIN Yanyan, ZHU Li, ZHU Yiwen, TANG Honghui   

  1. (School of Traffic and Transportation, Chongqing Jiaotong University, Chongqing 400074, China)
  • Received:2022-03-02 Revised:2022-08-19 Published:2023-09-08

摘要: 雨天环境下行车安全隐患突出,针对雨天环境车辆跟驰行为的追尾安全风险进行研究。首先,考虑雨天环境下车辆正常加减速以及急刹车2种条件,设计安全仿真场景,并基于实测自然驾驶数据标定的跟驰模型,进行跟驰行为安全风险仿真实验。其次,根据仿真数据,使用ITC、DRAC、DSS 3种不同类型的安全评价指标对不同降雨量以及不同跟驰场景进行安全风险评价。最后,采取统计检验的方法对ITC、DRAC、DSS 3种安全评价指标进行适用性分析。研究结果表明:在2种跟驰场景中,随着降雨量的增大,车辆跟驰行为中发生碰撞的风险均随之增大,同时潜在的碰撞风险时间也越长。以速度20 m/s、DSS指标为例,正常加减速场景不同天气状况下DSS指标所表示出有碰撞风险可能性的时间分别为:晴天0 s、小雨90.9 s、大雨100 s;急刹车场景不同天气状况下DSS指标所表示出有碰撞风险可能性的时间分别为:晴天7.0 s、小雨14.3 s、大雨20.7 s。针对不同降雨量以及跟驰场景,DSS评价指标的适用性均优于ITC评价指标和DRAC评价指标。

关键词: 交通运输工程;安全风险;跟驰行为;评价指标;雨天环境;仿真分析

Abstract: The safety hazards of driving in rainy environments are prominent. The safety risks of rear-end collisions caused by car-following in rainy enviorment was analyzed. First of all, considering two conditions such as normal acceleration and deceleration of vehicles and sudden braking in a rainy environment, the safety simulation scenarios were designed, and a car-following model calibrated by basing on real driving data was also used to carry out simulation test on the safety risk of car-following behavior. Secondly, according to the simulation data, three different types of safety evaluation indicators such as ITC, DRAC and DSS, were applied to evaluate the safety risk for different rainfall and car-following scenarios. Finally, the statistical testing was used to analyze the applicability of the three safety evaluation indicators such as ITC, DRAC and DSS. The research results show that in the two car-following scenarios, as the rainfall increases, the risk of collisions in car-following behavior increases and and the time of potential collision risk also increases. Taking the speed of 20 m/s and DSS as an example, under different weather conditions in normal acceleration and deceleration scenarios, the DSS indicates the possibility time of collision risk in 0 seconds for clear weather, 90.9 seconds for light rain and 100 seconds for heavy rain. Under different weather conditions in the emergency braking scenario, the DSS indicates the possibility time of collision risk in 7.0 seconds for clear weather, 14.3 seconds for light rain and 20.7 seconds for heavy rain. For different rainfall and car-following scenarios, the applicability of DSS evaluation index is better than that of ITC evaluation index and DRAC evaluation index.

Key words: traffic and transportation engineering; safety risk; car-following behavior; evaluation indicator; rainy days; simulation analysis

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