This webinar will detail the underlying operational problem, modeling approach, computational results, implications for mobility service providers and transportation planners/policymakers, and future research directions. The computational results compare the proposed path-finding approach with the conventional shortest path approach in terms of user wait times and in-vehicle travel times along with fleet VMT and fleet utilization.
Michael Hyland is an Assistant Professor of Civil and Environmental Engineering (CEE) at the University of California-Irvine (UCI), where he is affiliated with the Institute of Transportation Studies (ITS). His research interests include emerging transportation systems such as bikesharing, ridesharing, and shared-use automated vehicle mobility services, and the integration of these emerging services with existing transportation modes.
0317 Michael Hyland V5.pdf