交通信号灯转换期间的违规穿越行为及其影响因素分析

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英文篇名：Crossing Behavior and Influencing Factors at the Conversion Periods of Traffic Signal 作者：李行 ; 杨小宝 ; 郑天宇 英文作者：LI Hang;YANG Xiaobao;ZHENG Tianyu;MOE Key Laboratory for Urban Transportation Complex Systems Theory and Technology, Beijing Jiaotong University; 关键词：黄灯及全红时期违规 ; 红灯稳定期违规 ; 早启动违规 ; logit回归 英文关键词：Traffic signal violation the yellow light and all-red period;;the stable period;;Early start;;Logit regression 中文刊名：YSZH 英文刊名：China Transportation Review 机构：北京交通大学城市交通复杂系统理论与技术教育部重点实验室; 出版日期：2019-01-20 出版单位：综合运输 年：2019 期：v.41 基金：中央高校基本科研业务费项目(2018JBM023);; 国家自然科学基金重大研究计划项目(91746201) 语种：中文; 页：YSZH201901011 页数：6 CN：01 ISSN：11-1197/U 分类号：63-68

摘要

交通信号灯转换包括绿灯变黄灯、黄灯变红灯、红灯变绿灯三种情况,信号转换期与红灯稳定期的穿越行为会有所差异,本文研究行人及非机动车在信号灯转换期间的穿越行为特征及其关键影响因素。通过实地拍摄采集数据,将违规行为发生时刻细分为黄灯及全红时期违规、红灯稳定期违规和红灯最后4s的早启动违规,构建logit模型分析个体特征、情景条件和环境条件三类因素对各类违规行为的影响。研究结果表明穿越前是否有冲突车辆对黄灯及全红时期的违规行为产生显著影响;性别、停止纵向位置、等待时间、平均车流量和穿越前是否有冲突车辆对红灯稳定期间的违规有显著影响;交通方式和等待时前面违规的人数对早启动违规产生显著影响。
        The crossing behavior at the conversion periods of traffic signal including green-to-yellow, yellowto-red and red-to-green period is different from the crossing behavior during the stable period of traffic signal. This paper studies crossing behavior of pedestrians and non-motor vehicles at the conversion periods of traffic signal and analyzes its different influencing factors. The violations were subdivided into violations during the yellow light and all-red period, violations during the red light steady period, and early starting violations during the last 4s of the red light period. Logit regression models were established, which including three types of factors: individual factors, situational conditions, and environmental conditions. The conclusion shows that whether or not there were conflicting vehicles before crossing have a significant impact on the violations during the yellow light and all-red period. Gender, stopping vertical position, waiting time, average traffic volume, and whether or not there was a conflicting vehicle before crossing have a significant effect on the violations during the red light steady period. Both traffic volume and the number of violations during the waiting time have a significant impact on early starting violations.

引文

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