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基于虚拟力的过街行人行为分析    

Analysis of Behavior of Road Crossing Pedestrian Based on Virtual Force

文献类型:期刊文献

中文题名:基于虚拟力的过街行人行为分析

英文题名:Analysis of Behavior of Road Crossing Pedestrian Based on Virtual Force

作者:孙迪[1];方建军[1];高学英[2];高宗余[1]

第一作者:孙迪

机构:[1]北京联合大学自动化学院;[2]交通运输部规划研究院

第一机构:北京联合大学城市轨道交通与物流学院

年份:2015

卷号:32

期号:8

起止页码:120-125

中文期刊名:公路交通科技

外文期刊名:Journal of Highway and Transportation Research and Development

收录:Scopus;北大核心:【北大核心2014】;CSCD:【CSCD2015_2016】;

基金:国家自然科学基金项目(61304191);北京联合大学新起点计划项目(11102591103);北京市教育委员会科技计划项目(KM201511417005)

语种:中文

中文关键词:交通工程;行为决策模型;虚拟动力学;行人行为;行为分析

外文关键词:traffic engineering ; behavior decision model ; virtual dynamics ; pedestrian behavior; behavior analysis

摘要:为分析行人行为的主要影响因素,利用运动轨迹分析软件对调查数据进行了处理,绘制了行人过街时空轨迹曲线,提取了行人行为变化特征并分析了主要影响因素。考虑到行人过街所处的典型交通环境,将道路标线设计、信号配时情况、过街目的地、机动车干扰等情况带入行人行为分析中去,分析动态、静态两类因素对行人行为的干扰效果。为对干扰效果进行科学的表达,将不同因素对行为的影响视为虚拟力的作用效果,分别建立了不同影响因素对行人行为的干扰模型。此外,通过增加角度等参数反映不同因素的位置变化对行为的影响,对现有的社会力模型进行了完善和补充。最后,根据力的合成原理,建立了综合因素影响下的过街行人行为决策模型。
In order to analyze the main influencing factors of pedestrian behavior, by using trajectory analysis software, the survey data are processed, space-time trajectory curve is drawn, the pedestrian behavior characteristics are extracted and the main influencing factors are analysed. Considering the typical traffic environment of pedestrian crossing, the pedestrian behaviors is combined with road marking, signal timing, destination and vehicle interferences to analyse the effect of dynamic and static interference on the pedestrian behavior. In order to scientifically express the effect of the interference, the influences of different factors on the behavior are regarded as the effects of virtual force, and interference models of different influencing factors on pedestrian behavior are set up. Moreover, the influences of position change of different factors on behavior are mirrored by adding reflected parameters such as angle, thus the social force model is improved and replenished. Finally, based on the synthesis principle of force, the pedestrian behavior decision model considering the comprehensive influencing factors is built.

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