Evolution of day-to-day route choice behavior considering risk aversion and perception updating

In order to depict travelers' day-to-day route choice behaviors, an integrated model considering risk aversion and perception updating was proposed by using dynamics system approach and fixed point theory, its evolution stability was discussed and validated in a simple network. It is pointed that travel time budget, expected route travel time, actual route travel time and route flow appear a large of turbulence in 15 d at the beginning of simulation, but the traffic pattern evolves to stochastic user equilibrium state after nearly thirty days' travel. Analysis result indicates that the route choice evolution adopted in the model is highly similar to the computational steps of the classical method of successive average (MSA) , so the evolution stability can be assured, and the final flow pattern is independent of initial values of all state variables. 2 tabs, 8 figs, 16 refs.