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车辆荷载特性影响下的碰撞时间分布规律
引用本文:王颖,方志纯,简注清,涂辉招,施能艺.车辆荷载特性影响下的碰撞时间分布规律[J].交通运输系统工程与信息,2021,20(5):240-246.
作者姓名:王颖  方志纯  简注清  涂辉招  施能艺
作者单位:1. 同济大学 道路与交通工程教育部重点实验室,上海 201804;2. 福建省交通规划设计院有限公司,福州 350000;3. 香港理工大学 土木与环境工程系,香港 999077
基金项目:福建省交通运输科技项目/Transportation Technology Project of the Fujian Province, China(201907);山西重点研发计划/Major Research and Development (R&D) Project of Shanxi Province(19-JKKJ-1);香港政府研究资助/Research Grants Council of Hong Kong(25203717).
摘    要:受车辆荷载特性影响的碰撞时间(Time-To-Collision, TTC),被认为是车辆避撞系统中跟驰过程风险评估的有效指标.本文以车辆类型、超重和超速指标量化表征车辆荷载特性,分解前后车辆不同荷载特性组合的12类跟驰场景.基于动态称重技术获取融合荷载特性的交通流数据,分析车辆荷载特性对自由流交通状态下12类跟驰场景TTC分布的影响,利用KS 检验对比TTC分布的显著性.结果表明:TTC累计频率分布服从指数模型,在5%置信度水平上,跟驰前后车的车辆类型对TTC分布无显著影响;前后车均为超重轻车显著增加了潜在冲突风险,超重增加了轻车跟驰重车,轻车跟驰轻车场景的潜在冲突风险;前后车不超速跟驰场景下,轻车跟驰重车的风险比例高于轻车跟驰轻车.

关 键 词:交通工程  替代措施  数理统计  碰撞时间  车辆跟驰  荷载特性  
收稿时间:2020-04-23

Effects of Vehicle Load Characteristics on Distributions of Time-to-collision
WANG Ying,FANG Zhi-chun,JIAN Zhu-qing,TU Hui-zhao,SZE Nang-ngai.Effects of Vehicle Load Characteristics on Distributions of Time-to-collision[J].Transportation Systems Engineering and Information,2021,20(5):240-246.
Authors:WANG Ying  FANG Zhi-chun  JIAN Zhu-qing  TU Hui-zhao  SZE Nang-ngai
Institution:1. Key Laboratory of Road and Traffic Engineering of the Ministry of Education, Tongji University, Shanghai 201804, China; 2. Transportation Planning and Design Institute and Limited Company of Fujian Province, Fuzhou 350000, China; 3. Department of Civil and Environmental Engineering, The Hong Kong Polytechnic University, Hongkong 999077, China
Abstract:Time-to-collision (TTC), which is affected by vehicle load characteristics, is considered as an effective index for the risk assessment of the car- following process in collision avoidance systems. This research uses vehicle type, overweight and speeding to quantify vehicle load characteristics. Twelve types of car- following scenarios under free- flow conditions were decomposed with different load characteristics of the leading and following vehicles. The weigh-in-Motion (WIM) technique is applied to obtain traffic flow data that combines the load characteristics. The influence of vehicle load characteristics on TTC distribution in the 12 types of carfollowing scenarios was analyzed. The significance of TTC distribution was compared using KS test. Results show that the distribution of TTC cumulative frequency fits an exponential distribution. At the 5% level of significance, vehicle class and speeding do not show a significant effect on TTC distribution. Overweight of light vehicles has significant effect on TTC distribution. And overweight increases the potential conflict risk in the scenarios of a light vehicle following a heavy/light vehicle. In the case that the leading and following vehicles are not speeding, the potential conflict risk in the scenario of a light vehicle following a heavy vehicle is higher than the scenario of a light vehicle following a light vehicle.
Keywords:traffic engineering  surrogate measure  mathematical statistics  time-to-collision  car-following  load characteristics  
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