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Analysis of Pedestrian Conflict with Right-Turning Vehicles at Signalized Intersections in India

机译:与印度信号交叉口右转车辆行人冲突分析

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The interaction between pedestrians and right-turning vehicles at a signalized intersection is a usual scenario in urban locations in which both have to share a common space on the road. Due to the rapid growth of vehicular traffic in developing countries such as India, pedestrian-vehicle conflicts are increasing tremendously. This study evaluated pedestrian safety by examining the interaction between pedestrians and right-turning traffic (left-hand driving) at signalized intersections using the traffic conflict technique. Five time-based conflict indicators, namely postencroachment time (PET), time to vehicle (TTV), deceleration to safety time of pedestrians (DSTped), time to accident (TTA), and deceleration to safety time of vehicles (DSTveh) were used to analyze the conflict situation. Four signalized intersections were selected in two cities (Kolkata and New Delhi) of India. For every possible conflict situation, PET, TTV, DSTped, TTA, and DSTveh were estimated and the severity of conflicts was identified based on pedestrian demography and their crossing behavior. The k-means clustering technique was used to classify the conflict indicators into four levels of severity. Silhouette plots were developed to validate the clusters. A binary logistic regression model was developed to identify significant contributing factors to the risk-taking behavior of pedestrians. The model's results showed that pedestrians' age, gender, waiting time, and speed; type of crossing; pedestrian with company; the occurrence of conflicts in different quarters of the green interval; and right-turning vehicle volume have a significant effect on the risk-taking behavior of pedestrians. The findings of this study may help to identify various factors that affect pedestrian-vehicle conflicts at signalized intersections.
机译:行人和右转车辆在信号交叉口之间的相互作用是城市地点的通常场景,两者都必须在道路上分享一个共同的空间。由于印度等发展中国家的车辆交通的快速增长,行人 - 车辆冲突正在巨大增加。本研究通过在使用交通冲突技术的信号交叉路口检查行人和右转交通(左手驾驶)之间的互动来评估行人安全性。基于五个时间的冲突指标,即推迟时间(PET),时间到车辆(TTV),对行人安全时间的减速(DSTPED),使用时间(TTA),以及乘坐车辆安全时间(DStveh)的减速分析冲突情况。在印度的两个城市(加尔各答和新德里)中选择了四个信号交叉路口。对于每种可能的冲突情况,估计宠物,TTV,DSTP,TTA和DSTVEH,并根据行人人口统计和交叉行为确定冲突的严重程度。 K-means聚类技术用于将冲突指标分为四个严重程度。开发了剪影图以验证群集。制定了二进制物流回归模型,以确定行人风险行为的重要因素。该模型的结果表明,行人的年龄,性别,等待时间和速度;交叉类型;行人与公司;在绿色间隔的不同季度发生冲突;右转车辆体积对行人的风险行为产生重大影响。本研究的调查结果可能有助于确定影响信号交叉口的行人车冲突的各种因素。

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