Safety evaluation of pedestrian-vehicle interaction at signalized intersections in Changsha, China

IF 2.4 3区 工程技术 Q3 TRANSPORTATION
Lin Hu, Jian Ou, Jing Huang, Fang Wang, Yanxia Wang, Bo Ren, Huachao Peng, Lei Zhou
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引用次数: 19

Abstract

Abstract The purpose of this study is to investigate the unsafe conditions of pedestrian crossings at signalized intersections under the mixed traffic environment in Changsha, China. For this purpose, based really pedestrian-related crash data of Changsha city and visualized crash geographic information, six typical urban signalized intersections were selected. The peak and off-peak surveillance videos of six signalized intersections were collected via field surveys, 1,070 conflicts were extracted through using professional trajectory tracking software Traker to track pedestrian and vehicle trajectories. PSMT (Pedestrian Safety Margin Time) was used as an indicator to identify the severity of conflicts, and manually recorded the characteristics of pedestrian crossing behavior, vehicles and roads during the conflict. An Ordered Probit model was established to analyze the risk factors that led to different severities of the conflict between pedestrians and vehicles. The model outcome indicates a significant relationship between the severity level and characteristics of pedestrian behavior, vehicles and conflict. Moreover, it was identified that, in addition to the above characteristics, roadway characteristics significantly influenced likelihood of severe pedestrian-vehicle conflict. Finally, these factors are discussed, and suggestions for improving the pedestrian traffic environment are proposed from different perspectives.
长沙市信号交叉口行人与车辆交互安全评价
摘要以长沙市为研究对象,研究混合交通环境下信号交叉口行人过街的不安全状况。为此,基于长沙市真实行人碰撞数据和可视化碰撞地理信息,选取了6个典型的城市信号交叉口。通过现场调查收集6个信号交叉口的高峰和非高峰监控视频,利用专业轨迹跟踪软件Traker对行人和车辆轨迹进行跟踪,提取冲突1070个。以行人安全边际时间(PSMT)作为识别冲突严重程度的指标,人工记录冲突期间行人过马路行为、车辆和道路的特征。建立有序概率模型,分析导致行人与车辆冲突不同严重程度的危险因素。模型结果表明,严重程度与行人行为、车辆和冲突的特征之间存在显著的关系。此外,研究还发现,除了上述特征外,道路特征还显著影响严重行人与车辆冲突的可能性。最后,对这些因素进行了探讨,并从不同角度提出了改善步行交通环境的建议。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
6.00
自引率
15.40%
发文量
38
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