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Stochastic optimization of public transport schedules to reduce transfer waiting times

Sofia Michel, Boris Chidlovskii
We address the problem of transit schedule optimization in a multi-modal transport system. Using a real-world collection of transit instances in a transport system, we revise the two-stage stochastic program for transit schedule optimization initially proposed in [10] to improve the theoretical schedule and reduce the passengers’ expected waiting times. We address some limitations of the approach when applying to real transit events, and propose a more general solution which gets rid of some restrictive assumptions, for the price of a small complexity increase. We report results of testing the optimization algorithm on the transit data collected in the public transport system of Nancy, France.
IEEE Second International Smart Cities Conference, Trento, Italy, 12-15 September, 2016.