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信号交叉口行人空间分布与人车冲突行为分析
引用本文:信号交叉口行人空间分布与人车冲突行为分析. 信号交叉口行人空间分布与人车冲突行为分析[J]. 山东科学, 2017, 30(4): 80-85. DOI: 10.3976/j.issn.1002-4026.2017.04.013
作者姓名:信号交叉口行人空间分布与人车冲突行为分析
作者单位:北京交通大学交通运输学院,北京 100044
基金项目:国家自然科学基金(71371028);中央高校基本科研业务费(2015JBM049)
摘    要:人车冲突是影响城市道路信号交叉口通行能力的重要因素。本文通过选取典型信号交叉口,分析了过街行人堆积与右转机动车之间的冲突行为。对北京市闹市口大街和宣武门西大街的交叉口高峰时段进行了全程录像,提取了行人等待和右转车辆的空间分布特征数据,并根据数据分析了影响机动车右转的相关因素,通过线性回归分析解释了各影响因素与机动车延误之间的关系。研究发现,过街行人堆积的数量对右转机动车延误的影响最大,二者存在较强的线性关系。在今后的交通管理控制中,减少或避免人车冲突具有现实意义。

关 键 词:城市交通  线性回归模型  行人空间分布特征  人车冲突  延误  
收稿时间:2016-11-01

Analysis of pedestrian spatial distribution and pedestrian vehicleconflict behavior at signalized intersection
YU Rui-kang,ZHAO Hui. Analysis of pedestrian spatial distribution and pedestrian vehicleconflict behavior at signalized intersection[J]. Shandong Science, 2017, 30(4): 80-85. DOI: 10.3976/j.issn.1002-4026.2017.04.013
Authors:YU Rui-kang  ZHAO Hui
Affiliation:School of Traffic and Transportation, Beijing Jiaotong University, Beijing 100044, China
Abstract:Pedestrian vehicle conflict is an important factor affecting the traffic capacity of signalized intersections in urban roads. By selecting typical signalized intersections, the conflict behavior between pedestrian stacking and right turning vehicles was analyzed in this paper. Traffic states of the intersection at Beijing Naoshikou street and Xuanwu gate west street were videotaped during peak hours. Based on the captured video recording, the spatial distribution characteristic data of the waiting pedestrians and right turning vehicle were extracted. According to the data, the related factors that influence the right turn of motor vehicle were analyzed. And the relationship between the various factors and vehicle delay was explained by linear regression analysis. Studies found that the number of pedestrians piled up has the greatest impact on the delay of right turning vehicle and there is a strong linear relationship between them. It is of practical significance to reduce or avoid the conflict between pedestrian and vehicle in the future traffic management control.
Keywords:words   pedestrian vehicle conflict   spatial distribution characteristics of pedestrians  delay  urban traffic   linear regression model  
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