A probability model and sampling algorithm for the inter-day stochastic traffic assignment problem

SUMMARY In this study, we consider that inter‐day traffic flow fluctuations in a network are caused by stochastic travel behavior. We treat route traffic flows at each time interval as random variables. Therefore, the solution of the stochastic assignment problem should be the conditional joint prob...

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Veröffentlicht in:	Journal of advanced transportation 2012-07, Vol.46 (3), p.222-235
Hauptverfasser:	Wei, Chong, Asakura, Yasuo, Iryo, Takamasa
Format:	Artikel
Sprache:	eng
Schlagworte:	Bayes' theorem Computer networks directed acyclic graph Gibbs sampler Intervals Networks Routing (telecommunications) Sampling stochastic user equilibrium Stochasticity Traffic flow Transportation
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