不同信号配置下行人的启动时间

IF 0.4 Q4 ENGINEERING, MULTIDISCIPLINARY Engineer-Journal of the Institution of Engineers Sri Lanka Pub Date : 2021-12-30 DOI:10.4038/engineer.v54i4.7475
V. Wickramasinghe, P. Wijesinghe, K. G. M. Lakmali
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引用次数: 0

摘要

行人启动时间是人行横道行人信号相位设计中一个非常重要的因素。启动时间分为提前启动和延迟启动两类。如果行人在红灯期间开始从路边移动,则称为提前启动时间;如果行人在绿灯后开始从路边移动,则称为延迟启动时间。行人过马路时间是行人启动时间与过马路所需时间的总和。通过在行人信号阶段增加这个启动时间,可以减少行人与车辆之间的相互作用,减少人行横道上的过度延误。从最初的研究中可以看出,启动时间受信号配置的影响很大。因此,本研究旨在根据行人特征,评估不同信号配置对行人启动时间的影响,从而找到启动延迟最小的最佳信号配置。数据来自三个不同的人行横道的视频片段;(1)传统的红绿相位,(2)有等待时间相位的倒计时,(3)没有等待时间相位的倒计时。采用单因素方差分析(One-way ANOVA)统计检验来评价这些信号配置之间是否存在显著差异。此外,进行了Post-Hoc (Tukey)测试,以评估哪些特定的信号配置彼此显著不同。最后,以启动时间为因变量,行人特征和信号配置为自变量,建立多元线性回归模型。采用R值为0.75对模型进行验证,在回归模型中,行人的年龄、性别、是否带包、信号配置等特征对启动时间有显著影响。
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Start-Up Time of Crossing Pedestrians with Different Signal Configurations
: Pedestrian start-up time is a very important factor when designing the pedestrian signal phase at a pedestrian crosswalk. Start-up time is divided into two categories as early start-up and delayed star-up time. If a pedestrian starts to move from the curb during the red light, it is termed as early start-up time whereas if the pedestrian starts moving from the curb after the green light, then it is termed as delayed start-up time. Pedestrian crossing time is the summation of the start-up time of the pedestrian and the time required to cross the road. By adding this start-up time into the pedestrian signal phase can reduce the interaction between pedestrians and vehicles, and excess delay at pedestrian crossings. From the initial study, it was observed that start-up time is greatly influenced by the signal configuration. Thus, this research has the intention of assessing the effect of different signal configurations into the pedestrians’ start-up time based on pedestrian characteristics, and thereby, find the best signal configurations with minimum start-up delay. Data was obtained from the video footages from three different pedestrian crossings; (1) Traditional red and green phase, (2) Countdown with waiting time phase, (3) Countdown without waiting time phase. One-way ANOVA statical test was used to evaluate whether there exists any significant deference between these signal configurations. Further, Post-Hoc (Tukey) test was conducted to evaluate which specific signal configuration differs significantly from each other. Finally, a multiple linear regression model was developed by considering start-up time as dependent variable and pedestrian characteristics and signal configurations as independent variables. The model was validated with a R value of 0.75 and pedestrian characteristics such as age, gender, having a bag, and the signal configurations are highly significant to the start-up time in the proposed regression model.
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