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Modeling and Estimation of Combined Route and Activity Location Choice
Flötteröd, Gunnar; Nagel, Kai
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, which can efficiently be solved by an available algorithm.
Published in: 2006 IEEE Intelligent Transportation Systems Conference, 10.1109/ITSC.2006.1706773, IEEE
