A discrete event simulation model of the Viennese subway system for decision support and strategic planning
In this paper, we present a discrete event simulation model of the Viennese subway network with capacity constraints and time dependent demand. Demand, passenger transfer and travel times as well as vehicle travel and turning maneuver times are stochastic. Capacity restrictions apply to the number of waiting passengers on a platform and within a vehicle. Passenger generation is a time dependent Poisson process which uses hourly origin destination matrices based on mobile phone data. A statistical analysis of vehicle data revealed that vehicle inter station travel times are not time but direction dependent. The purpose of this model is to support strategic decision making by performing what if scenarios to gain managerial insights. Such decisions involve how many vehicles may be needed to achieve certain headways and what are the consequences. There are trade offs between customer satisfaction (e.g. travel time) and the transportation system provider's view (e.g. mileage) First results allow for a bottleneck and a sensitivity analysis.
2016 Winter Simulation Conference (WSC)