Public transit planning

Operations research has been successful at solving several operational planning problems encountered by the public transit agencies, namely, vehicle scheduling, driver scheduling, and bus parking and dispatching. In this talk, we review state-of-the-art mathematical programming models and solution approaches for solving these public transit problems.

Guy Desaulniers is a professor in the Department of Mathematics and Industrial Engineering at Ecole Polytechnique, Montréal, Canada, where he received a Ph.D. in applied mathematics in 1993. His current research interests focus on mathematical optimization applied to a wide variety of transportation problems, especially vehicle routing and crew scheduling problems in air, rail, and urban transportation.