Transportation Applications of Artificial Intelligence (Extended Abstract)

) Michael P. Wellman University of Michigan Artificial Intelligence Laboratory 1101 Beal Avenue Ann Arbor MI 48109 wellman@engin.umich.edu I present an overview of some ongoing research on IVHS-related problems at the University of Michigan Artificial Intelligence Laboratory. Our work covers three principal areas: (1) individual route planning under time-dependent uncertainty, (2) decentralized computation of network equilibria using market-price mechanisms, and (3) dynamic traffic modeling for routing and situation assessment. 1. Introduction In this extended abstract, I present an overview of IVHS-related research recently initiated at the University of Michigan Artificial Intelligence Laboratory. Our ultimate goals in this effort are to further the technology underlying decision support for both individual drivers and traffic management centers within a variety of decision con texts, including routing, scheduling, and control of signals. Part of this technology involves new mode..