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冰雪条件下信号交叉口上游拥堵识别方法
引用本文:杨龙海,章锡俏,方林,刘洪.冰雪条件下信号交叉口上游拥堵识别方法[J].北京理工大学学报,2013,33(S1):149-152.
作者姓名:杨龙海  章锡俏  方林  刘洪
作者单位:哈尔滨工业大学 交通科学与工程学院, 黑龙江, 哈尔滨 150001;哈尔滨工业大学 交通科学与工程学院, 黑龙江, 哈尔滨 150001;上海市市政规划设计研究院, 上海 200031;昆明市城市交通研究所, 云南, 昆明 650010
基金项目:黑龙江省青年科学基金资助项目(QC2009C25);国家教育部人文社会科学研究青年基金资助项目(10YJC630391);国家教育部高等学校博士学科点专项科研基金资助项目(20112302120037);哈尔滨工业大学科研创新基金资助项目(HIT.NSRIF.2010082)
摘    要:为解决冰雪条件下的信号交叉口上游拥堵识别问题,提出基于研究临界消散车队长度值的拥堵识别方法. 该方法根据汽车行驶理论与拥堵区间车辆行驶特点,将拥堵临界车辆的行车过程分为加速、匀速和减速过程,通过分析的拥堵排队车辆通过交叉口的过程,建立不同冰雪路面信号交叉口拥堵识别模型. 通过不同条件下相关参数标定,计算上游路段拥堵临界位置. 利用哈尔滨市区一个交叉口的实际调查数据进行验证,证明该模型能很好与实际相契合.

关 键 词:交通运输工程  冰雪条件拥堵识别  消散车队长度  行驶过程分析  信号交叉口
收稿时间:7/8/2013 12:00:00 AM

Identification Method of Congestion of Signal Intersection Upstream in Snow and Ice Conditions
YANG Long-hai,ZHANG Xi-qiao,FANG Lin and LIU Hong.Identification Method of Congestion of Signal Intersection Upstream in Snow and Ice Conditions[J].Journal of Beijing Institute of Technology(Natural Science Edition),2013,33(S1):149-152.
Authors:YANG Long-hai  ZHANG Xi-qiao  FANG Lin and LIU Hong
Institution:School of Science and Engineering, Harbin Institute of Technology, Harbin, Heilongjiang 150001, China;School of Science and Engineering, Harbin Institute of Technology, Harbin, Heilongjiang 150001, China;Shanghai Municipal Planning Design Research Institute, Shanghai 200031, China;Urban Transport Institute, Kunming, Yunnan 650010, China
Abstract:To identify the congestion of signalized intersection upstream in snow and ice conditions, a method based on the value of the critical dissipation queue length was proposed. According to car driving theory and vehicle driving characteristics in the congestion interval, driving process of the critical traffic congestion was divided into acceleration, uniform speed and deceleration processes. Congestion identification model at signalized intersection in condition of snow and ice was formulated based on analysis of passing process of queuing vehicles. Upstream congestion threshold was calculated with the calibration parameters under different situation. The model was verified using the actual survey data of an intersection in Harbin city, and show the good fitness of model results and traffic flow in practice.
Keywords:traffic and transportation engineering  congestion identification in condition of snow and ice  dissipation queue length  analysis of the process of moving  signalized intersection
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