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非港湾式停靠站对路段通行能力的影响研究
引用本文:章小军,彭国雄,董博,张鹍鹏.非港湾式停靠站对路段通行能力的影响研究[J].公路交通科技,2007,24(1):143-146.
作者姓名:章小军  彭国雄  董博  张鹍鹏
作者单位:同济大学,交通运输工程学院,上海,200092
摘    要:分析了路段上非港湾公交车站对路段通行能力有影响的6个因素,在实地调查的基础上,运用VISSIM进行试验仿真,得到大量数据,定量分析了各影响因素对路段通行能力的影响。建立神经网络模型对仿真数据进行分析,得到一组权值和偏差矩阵数据,通过该数据以及神经网络模型,可以在不同条件下,得到非港湾停靠站对路段通行能力的影响系数。

关 键 词:非港湾公交停靠站  通行能力  VISSIM仿真  人工神经网络
文章编号:1002-0268(2007)01-0143-04
修稿时间:2005-05-23

Study on Non-bay Bus Stop's Impact on Capacity of Highway Section
ZHANG Xiao-jun,PENG Guo-xiong,DONG Bo,ZHANG Kun-peng.Study on Non-bay Bus Stop''''s Impact on Capacity of Highway Section[J].Journal of Highway and Transportation Research and Development,2007,24(1):143-146.
Authors:ZHANG Xiao-jun  PENG Guo-xiong  DONG Bo  ZHANG Kun-peng
Institution:School of Traffic and Transportation Engineering, Tongji University, Shanghai 200092, Claim
Abstract:Six capacity-influencing factors related to non_bay public transit station on highway section were analyzed.On the basis of field investigation,VISSIM was used to analyze quantitatively the impact of the six influential factors on capacity of highway section,thus a large number of traffic capacity coefficient data were obtained.An artificial neural network model has been made to generalize the data,as a result,a group of calibrated weights and bias will be available to quantify the influential factors on traffic capacity of highway section under different conditions.
Keywords:non_bay bus stop  capacity  VISSIM  neural network
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