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信号交叉口共用车道通行能力概率模型
引用本文:张爽,常玉林,吴振宏.信号交叉口共用车道通行能力概率模型[J].北京理工大学学报,2016,36(S2):5-8,39.
作者姓名:张爽  常玉林  吴振宏
作者单位:江苏大学 汽车与交通工程学院, 江苏, 镇江 212013;东南大学 城市智能交通江苏省重点实验室, 江苏, 南京 210000,江苏大学 汽车与交通工程学院, 江苏, 镇江 212013;东南大学 城市智能交通江苏省重点实验室, 江苏, 南京 210000,镇江市公路管理站, 江苏, 镇江 212013
基金项目:江苏省城市智能交通重点实验室开放研究经费资助项目(JTKF2014004)
摘    要:研究信号交叉口共用车道通行能力的计算方法.分析了共用车道信号交叉口的阻塞情况,并以直右共用车道为例,提出了基于概率论的精确数学模型来计算其通行能力,结合实地调查数据和VISSIM仿真模型,分析本模型的精确性和适应性.结果表明,模型原理正确,考虑到了影响信号交叉口共用车道通行能力的各种因素,得到的计算结果更接近实际.

关 键 词:通行能力  共用车道  信号交叉口  混合交通  概率论
收稿时间:2016/10/30 0:00:00

Probabilistic Model of Capacity of Shared Lanes at Signalized Intersections
ZHANG Shuang,CHANG Yu-lin and WU Zhen-hong.Probabilistic Model of Capacity of Shared Lanes at Signalized Intersections[J].Journal of Beijing Institute of Technology(Natural Science Edition),2016,36(S2):5-8,39.
Authors:ZHANG Shuang  CHANG Yu-lin and WU Zhen-hong
Institution:School of Automobile and Traffic Engineering, Jiangsu University, Zhenjiang, Jiangsu 212013, China;Jiangsu Key Laboratory of Urban ITS, Southeast University, Nanjing, Jiangsu 210000, China,School of Automobile and Traffic Engineering, Jiangsu University, Zhenjiang, Jiangsu 212013, China;Jiangsu Key Laboratory of Urban ITS, Southeast University, Nanjing, Jiangsu 210000, China and Highway Management Station, Zhenjiang, Jiangsu 212013, China
Abstract:In this study, the calculation method of capacity of shared lanes at signalized intersection was presented. The blocking conditions of shared lanes were analyzed. Taking the shared lane with right-turn movement as an example, a mathematical model was proposed for an exact calculation for the capacity of shared lanes. Combined with field survey data and VISSIM simulation, the accuracy and adaptability of the model were analyzed. The results indicate the validity of the principle of the model which takes into account various factors that affect the capacity of shared lanes at signalized intersections, and makes calculated results closer to reality.
Keywords:capacity  shared lanes  signalized intersection  mixed traffic  probability theory
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