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作 者:李涛[1,2] 张存保[1,2] 符鼎俊[1,2] 高天昊 张梦岩 LI Tao;ZHANG Cunbao;FU Dingjun;GAO Tianhao;ZHANG Mengyan(Intelligent Transportation Systems Research Center,Wuhan University of Technology,Wuhan 430063,China;Engineering Research Center of Trans portation Information and Safety,Ministry of Education,Wuhan 430063,China)
机构地区:[1]武汉理工大学智能交通系统研究中心,武汉430063 [2]交通信息与安全教育部工程研究中心,武汉430063
出 处:《武汉理工大学学报(交通科学与工程版)》2025年第2期264-270,共7页Journal of Wuhan University of Technology(Transportation Science & Engineering)
基 金:国家重点研发计划项目(2023YFB4301800);湖北省重点研发计划项目(2023BAB076)。
摘 要:文中对武汉市4个信号控制交叉口内的左转非机动车数据进行了统计分析,并建立了基于二元Logit模型的非机动车左转选择行为模型和左转违规行为模型,分析了各因素对非机动车左转行为的影响.结果表明:性别、年龄、载人情况以及非机动车类型对非机动车左转选择行为和左转违规行为均具有显著影响.此外,当前机动车数量、未来机动车数量、左转时期和骑行者职业类型对非机动车左转选择行为具有显著影响,当前机动车数量小于4辆、未来机动车数量小于6辆时,非机动车逆时针二次过街率普遍较低.等待时长、等待期平均流量和左转方式对非机动车违规行为具有显著影响,当等待时间小于20 s时,左转非机动车的违规率较低;当等待期平均流量小于0.4时,左转非机动车的违规率较高.The data of left-turn non-motor vehicles in four signalized intersections in Wuhan were sta-tistically analyzed.The left-turn choice behavior model and left-turn violation behavior model of non-motor vehicles based on binary Logit model were established,and the influence of various factors on the left-turn behavior of non-motor vehicles was analyzed.The results show that gender,age,man-ned situation and non-motor vehicle types have significant effects on non-motor vehicle left-turn choice behavior and left-turn violation behavior.In addition,the current number of motor vehicles,the fu-ture number of motor vehicles,the left-turn period and the occupation type of cyclists have significant effects on the left-turn choice behavior of non-motor vehicles.When the current number of motor ve-hicles is less than 4 and the future number of motor vehicles is less than 6,the rate of non-motor vehi-cles crossing the street counterclockwise twice is generally low.The waiting time,the average flow during the waiting period and the way of turning left have a significant impact on the illegal behavior of non-motor vehicles.When the waiting time is less than 20 s,the illegal rate of turning left is low.When the average flow during the waiting period is less than O.4,the violation rate of non-motor vehi-cles turning left is higher.
关 键 词:城市交通 非机动车 左转行为 二次过街 二元Logit模型
分 类 号:U491[交通运输工程—交通运输规划与管理]
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