摘要
各类碰撞预警系统已广泛应用于具有驾驶辅助功能的车辆上,为研究预警系统对风险状态下车辆交互行为特征的影响机理,并评估其对行车风险的干预效果,采用15辆搭载预警系统的试验车辆在真实高速公路场景下进行实车群组试验,通过有-无预警情形对比试验及分析,从车辆交互行为特征指标、道路总体运行风险、驾驶员对预警系统认可度3个维度,对行车风险干预效果进行定量化综合评估。试验结果表明:微观层面,有预警情形下,跟驰、超车换道2类行车安全事件下的车头时距均值分别增加了0.37 s和0.34 s,方差分析结果显示预警系统开闭状态对车头时距有显著影响(p <0.05);中观层面,试验路段2类行车安全事件频数分别下降了16.0%和23.7%,试验车辆群组在路段上的运行速度分布离散性显著降低;调查问卷显示试验人员中,86.7%在接收到预警信息后会采取趋于安全的措施,73.3%非常认同预警系统对道路交通安全提升的积极作用。
Advanced driver assistance systems have been widely installed on various types of vehicles. To study the effectiveness of the collision warning systems,a field test was conducted on real-world expressways. A group of 15 vehicles underwent a comparative test equipped with or without the system. During the testing,a method for evaluating the effectiveness of the early warning system has been proposed from the following three aspects: interactions between vehicles,safety risk,and acceptance of the driver. Study results show that,at the microscopic level,under the scenarios that the vehicles are equipped with the system,when accidents take place during car-following and lane-changing for overtaking action,the average time headway(THW) observed increases by 0.37 s and 0.34 s,respectively. It is also found that using the system has a significant impact on the THW(p <0.05). In contrast,at the mesoscopic level,the frequency of the above two types of accidents drops by 16.0% and 23.7%,respectively,as a result of early warning provided by the system. The dispersion degree of the vehicle speed in the group is also found to decrease significantly. The questionnaire survey shows that 86.7% of drivers will take safety measures after receiving the warningfrom the system,and 73.3% of drivers agree that the early warning system improves road safety.
作者
许甜
高健强
刘建蓓
赵超杰
刘国图
XU Tian;GAO Jianqiang;LIU Jianbei;ZHAO Chaojie;LIU Guotu(CCCC First Highway Consultants Co.,Ltd,Xi'an 710065,China;College of Transportation Engineering,Tongji University,Shanghai 200092,China)
出处
《交通信息与安全》
CSCD
北大核心
2022年第1期153-161,共9页
Journal of Transport Information and Safety
基金
国家重点研发计划项目(2017YFC0803900)
陕西省青年科技新星项目(2020KJXX-046)资助。
