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Bayesian modeling and estimation of combined route and activity location choice

Gunnar Flötteröd () and Kai Nagel ()
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Gunnar Flötteröd: Berlin University of Technology, Group for Transport Systems Planning and Transport Telematics
Kai Nagel: Berlin University of Technology, Group for Transport Systems Planning and Transport Telematics

No 2006-06, Working Papers from Center for Network Industries and Infrastructure (CNI)

Abstract: This article describes a behavioral model of combined route and activity location choice. The model can be simulated by a combination of a time variant best path algorithm and dynamic programming, yielding a behavioral pattern that minimizes a traveler’s perceived cost. Furthermore, the model is extended in a Bayesian manner, providing behavioral probabilities not only based on subjective costs, but also allowing for the incorporation of anonymous traffic measurements and the formulation of a traffic state estimation problem.

Keywords: transportation; route choice; modelling (search for similar items in EconPapers)
JEL-codes: C6 L91 (search for similar items in EconPapers)
Pages: 5 pages
Date: 2006
New Economics Papers: this item is included in nep-ecm, nep-geo and nep-ure
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