Recovery of Disruptions in Rapid Transit Networks with Origin-Destination Demand

Abstract

This paper focuses on disruption management of Rapid Transit Rail Networks. We propose an integrated model for timetable and rolling stock rescheduling in order to minimize the recovery time, the passenger inconvenience and the incurred system costs. We introduce Origin-Destination demand formulation to the recovery problem in order to account for rerouting possibilities for passengers through the network, considering the presence of different transport modes. The computations presented are based on realistic problem instances of the Spanish rail operator RENFE. The tests have been accomplished using data from Madrid's rapid transit network.