街区间行人过街设施道路安全标准及ITS技术应用

IF 0.7 Q4 TRANSPORTATION
Sathya Prakash
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引用次数: 0

摘要

本文试图评价街区中间行人过马路设施与行人过马路行为的关系,并找出影响行人过马路决策的变量。行人在过马路时的决定取决于许多其他因素,如司机的让步行为、车速、道路宽度、交通量等。通过录像调查收集了印度喀拉拉邦Kozhikode市行人过马路的数据,对行人过马路设施进行了评价。建立了以行人等待时间为因变量,车辆速度和体积为自变量的回归模型。此外,我们开发了一个计算工具,根据不同程度的中断和车辆到达率,根据排队车辆的百分比,得出适当的标准来调节行人阶段的数量。通过采用智能交通系统(ITS)技术实施信号控制,将车辆和驾驶员在行人过马路时施加的负力降至最低。此外,排队分析结果有助于确定基于队列中车辆百分比阈值的分层交叉建议标准。从排队分析中发现,当到达率为1200v/h时,当每小时行人干扰次数从20次增加到40次时,车辆排队比例从19.44%增加到38.89%。当到达率从1200 v/h增加到1800 v/h时,行人干扰次数为20时,排队车辆百分比增加19.44%至77.78%。开发的预测工具可以帮助交通决策者和公路官员评估现场情况,并确定适合的行人设施控制措施,从而提高行人安全和车辆交通效率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Road Safety Criteria for Mid-Block Pedestrian Crossing Facility and Application of ITS Technologies
This paper describes an attempt made to evaluate the pedestrian's road crossing facility at midblock to relate with pedestrian road crossing behaviour and identify the variables influencing pedestrian road crossing decisions. The decision of pedestrians on road crossing depends on many other elements like yielding behaviour of a driver, vehicle speed, roadway width, traffic volume etc. Pedestrians road crossing data collected through videographic survey at Kozhikode city, Kerala, India were used to evaluate the pedestrian crossing facility. Regression model has been developed considering the pedestrian waiting time as dependent variable and vehicle speed and volume as independent variable. Further, a computational tool is developed to derive suitable criteria for regulating the number of pedestrian phases based on the percentage of vehicles in the queue formation for varying levels of interruptions and vehicle arrival rate. The criteria has been derived such that the negative force exerted by vehicles and drivers during pedestrian road crossing to a minimum level, through the implementation of signal control using Intelligent Transport System (ITS) technologies. Further, the queuing analysis results helps to identify the criteria for proposing grade-separated crossing based on the threshold value of the percentage of vehicles in the queue formation. From the queuing analysis, it was found that, the percentage of vehicle in queue has been increased from 19.44% to 38.89% for the arrival rate of 1200v/h when the number of pedestrian interruptions per hour is increased from 20 to 40. Also, it is observed that when the arrival rate increases from 1200 to 1800 v/h the percentage of vehicle in queue increases 19.44% to 77.78% for 20 number of pedestrian interruptions. The prediction tool developed may help the transportation policymakers and highway officials to evaluate the field conditions and to identify suitable control measures for the pedestrian facility with improved pedestrian safety and vehicular traffic efficiency.
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CiteScore
2.30
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发文量
19
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