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 o...

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Bibliographic Details
Main Authors: Schmaranzer, David, Braune, Roland, Doerner, Karl F.
Format: Conference Proceeding
Language:English
Subjects:
Analytical models
Discrete event simulation
Optimization
Planning
Public transportation
Vehicles
Online Access:Request full text
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Summary: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.
ISSN:1558-4305
DOI:10.1109/WSC.2016.7822280