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考虑非机动车违章影响的车辆运行效率分析    

Under Impact of Non-motor Vehicle Violation an Analysis on Vehicle Operation Efficiency

文献类型:期刊文献

中文题名:考虑非机动车违章影响的车辆运行效率分析

英文题名:Under Impact of Non-motor Vehicle Violation an Analysis on Vehicle Operation Efficiency

作者:孙迪[1];周进[1];刘思佳[1];张笑明[1];高学英[2]

第一作者:孙迪

机构:[1]北京联合大学城市轨道交通与物流学院,北京100101;[2]交通运输部规划研究院,北京100028

第一机构:北京联合大学城市轨道交通与物流学院

年份:2020

卷号:32

期号:11

起止页码:2166-2175

中文期刊名:系统仿真学报

外文期刊名:Journal of System Simulation

收录:CSTPCD;;Scopus;北大核心:【北大核心2017】;CSCD:【CSCD_E2019_2020】;

基金:Beijing Municipal Natural Science Foundation(9204023);Academic Research Projects of Beijing Union University(XP202014)。

语种:中文

中文关键词:违章行为;非机动车;线性回归模型;违章率

外文关键词:violation behavior;non-motor vehicle;linear regression model;operation efficiency

摘要:对非机动车的违章行为对信号交叉口的机动车通行效率的影响进行了研究。利用线性回归模型分析出该交叉口主要出现的违章行为,对违反信号灯通行的非机动车建立违章率模型建立非机动车违章行为下的机动车延误时间模型,根据已有的违章率,分析出不同违章率下的机动车延误时间,可看出违章率越大,机动车延误时间越长。针对非机动车违章行为对机动车产生的影响,从道路设计方面提出改善建议。
In order to study the impact of non-motor vehicle violations on motor vehicle traffic efficiency at signalized intersections, the non-motor vehicle traffic behaviors are analyzed. An actual intersection is selected as study object, the main violation behaviors of on selected intersection are analyzed by using the linear regression model. For traffic light violation behavior of non-motor vehicles, the violation rate is modeled by using logistic model, and the results are analyzed. At the signal controlled intersection, non-motor vehicle violations affect the normal motor vehicles, and time is delayed. The delay time of motor vehicle under non-motor vehicle violations is modeled, based on the existing violation rate, the delay time of motor vehicle under different violation rate is analyzed. It can been see that the larger the violation rate value, the longer the delay time of motor vehicle will be. For the impact of non-motor vehicle violations on motor vehicles, some improvement suggestions in road design are provided, and public awareness of laws and regulations is strengthened.

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