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- W2064757480 abstract "As an alternative effort for quantifying recurrent traffic dynamics caused by network variations and analyzing the impact on the network performance from information provision, we describe in this paper a new equilibrium modeling scheme for stochastic networks with a finite number of states, which takes into account the behavioral inertia. A finite-dimensional variational inequality model is formulated to describe the cross-state equilibrium conditions among heterogeneous travelers with different inertial degrees and knowledge structures. Our model allows for traveler’s partial understanding and inertial effect in perceiving varying network conditions and provides a different perspective (from existing stochastic and Markovian network equilibrium approaches) to describe traffic flow variations across multiple network scenarios. A disaggregate simplicial decomposition algorithm is suggested to solve the variational inequality problem. Numerical results from a few stochastic network examples demonstrate the validity and effectiveness of our methodology in modeling the inertia phenomenon within route choice behavior and the efficacy of using traveler information systems to eliminate the inertia effect." @default.
- W2064757480 created "2016-06-24" @default.
- W2064757480 creator A5044903591 @default.
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- W2064757480 date "2014-08-01" @default.
- W2064757480 modified "2023-10-16" @default.
- W2064757480 title "On the stochastic network equilibrium with heterogeneous choice inertia" @default.
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- W2064757480 doi "https://doi.org/10.1016/j.trb.2014.01.005" @default.
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