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道路拥挤定价下的公交收费模型研究
引用本文:王健,安实,徐亚国. 道路拥挤定价下的公交收费模型研究[J]. 中国公路学报, 2005, 18(4): 100-103,118
作者姓名:王健  安实  徐亚国
作者单位:1. 哈尔滨工业大学,交通工程研究中心,黑龙江,哈尔滨,150001;哈尔滨工业大学,深圳研究生院,广东,深圳,518055
2. 广州市公安局,广东,广州,510030
基金项目:国家自然科学基金项目(70203003);哈尔滨工业大学校科学研究基金项目(01100704)
摘    要:为了在执行道路拥挤定价政策的前提下制定公共交通的收费标准,提出可行的定价模型,根据交通行为科学的有关理论和方法,采用了两层规划技术建立了道路拥挤定价下的公交收费模型,上层规划为交通系统优化,下层规划为拥挤定价下的路网随机平衡问题。以广州市为研究对象,计算了拥挤定价下广州市公交线网的最优价格体系。研究结果表明:所提出的模型能够描述出行者和交通管理部门分别在出行和交通管理中的决策行为,较好地解释了用户平衡、路段路径流量和阻抗、交通需求、拥挤费、公交票价、出行成本等相互之间的逻辑关系。

关 键 词:公路运输经济 公交收费 两层规划技术 拥挤定价 交通需求
文章编号:1001-7372(2005)04-0100-04
收稿时间:2005-01-28
修稿时间:2005-01-28

Study of bus toll model under urban road congestion pricing
WANG Jian,AN Shi,XU Ya-guo. Study of bus toll model under urban road congestion pricing[J]. China Journal of Highway and Transport, 2005, 18(4): 100-103,118
Authors:WANG Jian  AN Shi  XU Ya-guo
Affiliation:1. Traffic Engineering Research Center, Harbin Institute of Technology, Harbin 150001, China; 2. Graduate School in Shenzhen, Harbin Institute of Technology, Shenzhen 518055, China; 3. Guangzhou Municipality Public Security Bureau, Guangzhou 510030, China
Abstract:Studying of bus toll methods under road congestion pricing,authors put forward a feasible pricing model as decision-making reference for transportation policy makers.According to theory and methods of traffic behaviors science,authors employed bi-level programming technology to establish bus toll model under road congestion pricing.The up-level of the model optimized traffic system and the low-level of the model interpreted the problem about stochastic user equilibrium of road network under congestion pricing.Regarding the city of Guangzhou as a typical case,optimal bus toll system for bus road network was calculated aimed to the cases:congestion pricing policy should be executed.This study shows that the model can state decision behavior in traffic management department and travelers and can correctly interpret the mutual logic relation in user balance,route flow,traffic demand,congestion fee,bus toll and trip cost.
Keywords:highway transportation economy   bus toll   bi-level programming technology   congestion pricing   traffic demand
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