Flötteröd, GunnarNagel, Kai2018-11-272018-11-2720061-4244-0093-72153-0009https://depositonce.tu-berlin.de/handle/11303/8606http://dx.doi.org/10.14279/depositonce-7740This 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.en380 Handel, Kommunikation, Verkehrtraffic controltelecommunication trafficcostsbayesian methodsstate estimationtelematicspostal servicesheuristic algorithmsdynamic programmingmonitoringConference Object2153-0017