Abstract: The heterogeneous driving behaviors from different travelers are not considered in current advanced traveler information systems (ATIS) such as Google Maps and 511 systems, which leads the systems to generate the same ...

Abstract: In this paper, we present a modeling framework and approach to capture vacant taxi drivers’ route choice behavior learning process and simulate their changes of routing decisions over time due to updated experiences of the ...