Day-to-day traffic assignment model considering travelers' bounded rationality and perception updating
ZHU Liling
YANG Da
WU Danhong
ZHOU Xiaoxia
ZHAO Xinpeng
Abstract：The study on the characteristics of traffic flow evolution is of great importance to alleviating urban traffic congestion.The existing day-to-day traffic assignment models have some con strains,which could not fully describe the behaviors of bounded rationality and perception updating in the actual traffic environment.This paper proposes a day-to day traffic assignment model considering travelers' bounded rationality and perception updating based on the cumulative prospect theory,and does a simulation experiment in a test network.The study finds that in the condition of the travelers' bounded rationality and perception updating,the flow convergence speed to the steady state is faster,in this example,the path from 1 to 6 needs 40 d,40 d,11 d,13 d,22 d and 23 d to the stable state,respectively.The parameter η,which describes travelers' perception sensitivity on the cumulative prospect value of the path,also has significant effects on the evolution convergence rate,the smaller ηmeans the longer time to the final equilibrium state.
Keywords：traffic engineeringbounded rationalityperception updatingday-to-day dynamicstraffic assignment
Publication Date：2018-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：6( 75-80 )