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A mixed stochastic user equilibrium model considering influence of advanced traveller information systems in degradable transport network

A mixed stochastic user equilibrium model considering influence of advanced traveller information systems in degradable transport network

作     者:程琳 楼小明 周静 马捷 CHENG Lin;LOU Xiao-ming;ZHOU Jing;MA Jie

作者机构:School of TransportationSoutheast UniversityNanjing 210096China Zhejiang Development&Planning Research InstituteHangzhou 310012China Zhejiang Institute of CommunicationsHangzhou 311112China 

基  金:Projects(51378119 51578150)supported by the National Natural Science Foundation of China 

出 版 物:《Journal of Central South University》 (中南大学学报(英文版))

年 卷 期:2018年第25卷第5期

页      码:1182-1194页

摘      要:Advanced traveler information systems (ATIS) can not only improve drivers' accessibility to the more accurate route travel time information, but also can improve drivers' adaptability to the stochastic network capacity degradations. In this paper, a mixed stochastic user equilibrium model was proposed to describe the interactive route choice behaviors between ATIS equipped and unequipped drivers on a degradable transport network. In the proposed model the information accessibility of equipped drivers was reflected by lower degree of uncertainty in their stochastic equilibrium flow distributions, and their behavioral adaptability was captured by multiple equilibrium behaviors over the stochastic network state set. The mixed equilibrium model was formulated as a fixed point problem defined in the mixed route flows, and its solution was achieved by executing an iterative algorithm. Numerical experiments were provided to verify the properties of the mixed network equilibrium model and the efficiency of the iterative algorithm.

主 题 词:mixed stochastic user equilibrium model degradable transport network advanced traveler information systems (ATIS) drivers' behavioral adaptability multiple equilibrium behaviors fixed point problem 

学科分类:08[工学] 0838[0838] 

核心收录:

D O I:10.1007/s11771-018-3817-5

馆 藏 号:203291733...

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