Modeling and Simulation of Travelers’ Route Choice Behavior Based on Disequilibrium Theory

doi:10.16182/j.issn1004731x.joss.201811004

Abstract

Abstract: Considering the influence of heterogeneous travel on traffic flow distribution, the travelers’ route choice behaviors are classified into three types: price regulation, quantity regulation and price-quantity regulation. Three day-to-day dynamical stochastic assignment models based on the disequilibrium theory are established, and the existence, uniqueness, and stability of the solutions to these models are proved. Through model simulation, it proved that each path flow in these three models can converge to a steady state after a finite travel adjustment, and the day-to-day dynamical stochastic assignment model under price-quantity regulation can simulate the influence of heterogeneous travel behaviors on the distribution characteristic and dynamic evolution of traffic flow.

Key words: route choice behavior, stochastic traffic assignment, disequilibrium theory, price regulation, quantity regulation

CLC Number:

U491.2

Huang Zhongxiang, Wu Jianhui, Kuang Aiwu, Zhang Sheng, Xu Yan. Modeling and Simulation of Travelers’ Route Choice Behavior Based on Disequilibrium Theory[J]. Journal of System Simulation, 2018, 30(11): 4067-4078.

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