A Drivers' Choice Behavior Model Based on Evolutionary Game Theory

It is essential to know drivers' learning processes and decision rules in actual conditions so as to understand their choice behavior and traffic phenomenon. This paper assumes that the drivers are influenced by incomplete traffic information in addition to their bounded rationality. Under such assumption,this paper proceeds to construct a model of the drivers' choice behavior on the basis of the evolutionary game theory. With mathematical induction as a tool,this paper proves the suitability of evolutionary approach for the analysis of drivers' route choice behavior. It's found that for two and up to n routes,the evolutionary stable state derived from the above-mentioned approach is exactly equivalent to equilibrium derived from traffic assignment theory and stochastic utility theorem.