The Influence of Traffic Distribution by Route Choice Behavior Under the Condition of No Inducing Information Based on the Limited Rational Fuzzy Game

Abstract

When no guidance information is available, drivers often depend on recent experience to select a travel route. This paper is based on the theory of behavior reinforcement, establishing a vehicle route choosing model without guidance information. The model is based on a finite rational fuzzy game. The game equilibrium results are obtained under different initial conditions. Numerical simulation shows that with no guidance information, the traffic flow distribution of the network eventually reaches a balance given by theoretical analysis. Some network environments form a stable equilibrium game that does not release induction information. However, in other network environments, the traffic flow distribution forms a non-stable equilibrium game. Therefore, the traffic capacity of the entire network cannot be taken advantage of, and certain management measures must be considered.