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考虑出行全过程的城市群多方式交通流分配模型与算法
引用本文:徐璞.考虑出行全过程的城市群多方式交通流分配模型与算法[J].山东科学,2022,35(1):88-98.
作者姓名:徐璞
作者单位:1.北京交通大学 交通运输学院,北京 1000442.中铁工程设计咨询集团有限公司,北京 100055
基金项目:国家自然科学基金(71621001);国家自然科学基金(71571013);国家自然科学基金(91746201)
摘    要:为优化城市群旅客运输网络结构,提出了组合出行模式下城市群多方式交通流分配模型,研究网络均衡时城市群多方式旅客运输网络的流量分布状态.基于对城市群出行全过程的充分分析,利用超网络理论构建了城市群多方式交通超网络模型,将超网络的路段划分为上网路段、行驶路段、换乘路段和下网路段等4类,其中行驶路段包括城市交通网络上的行驶路段...

关 键 词:城市群  出行全过程  多方式  超网络  广义费用  有效超路径  随机用户均衡
收稿时间:2021-03-01

Multi-modal traffic assignment model and algorithm for an urban agglomeration considering entire travel process
XU Pu.Multi-modal traffic assignment model and algorithm for an urban agglomeration considering entire travel process[J].Shandong Science,2022,35(1):88-98.
Authors:XU Pu
Institution:1. School of Traffic and Transportation, Beijing Jiaotong University, Beijing 100044, China2. China Railway Engineering Design and Consulting Group Co., Ltd., Beijing 100055, China
Abstract:To optimize the structure of passenger transportation networks in an urban agglomeration, a multi-modal traffic flow assignment model under combined mode is proposed to study the flow distribution of multi-modal passenger transport networks in the urban agglomeration when the network achieves equilibrium. Based on the analysis of the entire travel process in an urban agglomeration, the super network theory is used to construct a super network model of multi-modal transportation in the urban agglomeration, and the links of the super network are divided into four types—boarding links, travel links, transfer links, and alighting links—among which travel links include travel links on urban transportation networks and travel links on intercity transportation networks. Considering the various factors that affect the choice of passenger travel mode, the generalized cost function of different links and hyperpaths are defined. Based on this, the stochastic equilibrium assignment model of a multi-modal transportation system in an urban agglomeration is proposed and the corresponding solution algorithm is designed based on the method of successive average algorithm as well as the search algorithm of the effective hyperpath. Finally, a numerical example is given to illustrate and verify the effectiveness of the model and algorithm.
Keywords:urban agglomeration  entire travel process  multi-modal  super network  generalized cost  effective hyperpath  stochastic user equilibrium  
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