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公交进站换道行为对车头时距的影响 被引量:2

Impact of bus entering lane change behavior on headway
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摘要 公交车进站换道行为属于城市道路上的常发性、强制性换道行为.为了探寻因其导致的公交站上游交通组织状态混乱的影响因素,定性分析了公交车进站换道行为的过程,并且借助实际调查数据,定量分析换道耗时、换道次数、离站路程、穿越车道数和交通量这5个因素与车头时距的关系.基于主成分分析法,建立了车头时距与上述5个因素的多元线性回归模型,模型检验效果良好,效果优于经验回归模型.结果表明:公交进站换道对车头时距的影响过程,第1主成分主要反映换道耗时,而换道次数不满足主成分要求,对车头时距影响相对不明显;除了离站路程与车头时距成反比,其余4个因素与车头时距均成正比,即在高峰时期,公交车进站换道位置离站越远,较少的换道耗时、换道次数、穿越车道数或交通量都有助于改善公交站上游车辆交通状况. Bus entering lane change(BELC)is a kind of permanent and mandatory lane change behavior on the city road.To find out the factors that influence traffic organization and efficiency within upstream of bus stop,the process of bus lane change behavior was analyzed.The relationship among lane change time,lane change frequency,stop distance,number of crossed lanes and traffic volume was quantitatively analyzed based on the actual survey data.According to the principal component analysis method,a multivariate linear regression model of the headway with the above five factors was established.The proposed model was proved that it can better meet the test than the empirical regression model.The results show that during the BELC,the first principal component mainly reflects the lane change time,while the lane change frequency does not meet the main component requirements with slight effect on headway.The stop distance is negative to the headway,while the other four factors are proportional to the headway.Lengthening lane change distance,reducing duration and cross numbers of lane change and decreasing traffic volume can improve traffic conditions around bus stop.
作者 刘悦棋 向红艳 陈城辉 LIU Yueqi;XIANG Hongyan;CHEN Chenghui(Chongqing Municipal Research Institute of Design,Chongqing 400020,China;College of Traffic and Transportation,Chongqing Jiaotong University,Chongqing 400074,China)
出处 《江苏大学学报(自然科学版)》 EI CAS 北大核心 2019年第1期27-33,共7页 Journal of Jiangsu University:Natural Science Edition
基金 重庆市教委科学技术研究计划项目(KJ1400327)
关键词 城市交通 进站换道行为 主成分分析 车头时距 影响因素 urban traffic bus entering lane change behavior principal component analysis headway impact factors
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