On the stochastic network equilibrium with heterogeneous choice inertia

摘要: Abstract As an alternative effort for quantifying recurrent traffic dynamics caused by network variations and analyzing the impact on performance from information provision, we describe in this paper a new equilibrium modeling scheme stochastic networks with finite number of states, which takes into account behavioral inertia. A finite-dimensional variational inequality model is formulated to cross-state conditions among heterogeneous travelers different inertial degrees knowledge structures. Our allows traveler’s partial understanding effect perceiving varying provides perspective (from existing Markovian approaches) flow across multiple scenarios. disaggregate simplicial decomposition algorithm suggested solve problem. Numerical results few examples demonstrate validity effectiveness our methodology inertia phenomenon within route choice behavior efficacy using traveler systems eliminate effect.