Behavioral inertia, network equilibrium, and traveler information systems

摘要: This paper presents an equilibrium modeling scheme for describing network flows formed by behaviorally inertial travelers routing in stochastic networks with a finite number of states. The flow pattern is aggregation result recurrent traffic dynamics caused varying A finite-dimensional variational inequality model formulated to describe the cross-state conditions among heterogeneous different degrees and knowledge structures. allows traveler's partial understanding effect perceiving provides perspective (from existing Markovian approaches) variations across multiple scenarios. Numerical results from few examples demonstrate validity effectiveness our methodology inertia phenomenon route choice behavior efficacy using traveler information systems eliminate effect.