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 ...

Abstract: This paper investigates bus bunching issues encountered with a single bus line. A real-time speed control model was proposed with the objective of minimizing variations in bus headway. Three cases of a typical road ...

Abstract: Bus bunching deteriorates transit service quality and passengers’ experience. The modeling and prediction of bus operation states are essential for improving the quality of transit service. Due to the nature of traffic ...