基于风险评估的行人过街微观交通仿真研究  

Microscopic Simulation of Pedestrian Crossing in Human-Machine Mixed Driving Environment Based on Risk Assessment

作　　者：张蕊 韩瑞雪 郝嘉田 王恩源 ZHANG Rui;HAN Ruixue;HAO Jiatian;WANG Enyuan(Civil and Transportation Engineering College Beijing University of Civil Engineering and Architecture,Beijing 100044,China;China Academy of Transportation Sciences,Beijing 100088,China)

机构地区：[1]北京建筑大学土木与交通工程学院,北京100044 [2]交通运输部科学研究院,北京100088

出　　处：《交通工程》2025年第4期90-95,共6页Journal of Transportation Engineering

基　　金：国家自然科学基金(5170080357);北京未来城市设计高精尖创新中心项目(UDC2019032924)。

摘　　要：在人机混驾环境下,行人过街微观交通仿真研究需要考虑无人驾驶车辆对行人过街的影响。本文建立城市支路人机混驾虚拟仿真场景,通过问卷开展行人过街意愿调查,其中,人车距离、驾驶行为、车辆速度和行人对无人驾驶车辆信任度是影响行人过街决策的主要因素,通过模糊推理方法进行行人过街风险评估,结合实测行人过街主动减速行为的速度变化规律,通过改进期望速度和引入过街风险评估值改进社会力模型。最后,通过行人过街速度、过街决策和情景分析验证了模型的有效性。In the human-machine mixed driving environment,the microscopic traffic simulation research of pedestrian crossing needs to consider the impact of unmanned vehicles on pedestrian crossing.This paper established a virtual simulation scenario of human-machine mixed driving on urban branch roads,and the willingness of pedestrians to cross the road is investigated through questionnaires.Among them,human-vehicle distance,driving behavior,vehicle speed and pedestrians trust in unmanned vehicles are the main factors affecting pedestrians crossing decisions.The risk assessment of pedestrian crossing is carried out by fuzzy reasoning method.Combining with the speed change law of pedestrians active deceleration behavior measured in reality,the social force model is improved by modifying the desired speed and introducing the risk assessment value of pedestrian crossing.Finally,the effectiveness of the model is verified through pedestrians crossing speed,crossing decisions and scenario analysis.

关 键 词：人机混驾 行人过街 风险评估 社会力模型 微观仿真 

分 类 号：U491[交通运输工程—交通运输规划与管理]