Transportation Applications of Artificial Intelligence
نویسنده
چکیده
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 contexts, including routing, scheduling, and control of signals. Part of this technology involves new modeling tools for describing transportation networks and traffic flow, and reasoning mechanisms to support forecasting and situation assessment.
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تاریخ انتشار 2002