Capacity-restraint railway transport assignment at SBB- Passenger

Abstract

In modeling road traffic the consideration of capacity is common. Despite some research there are no standard methods for capacity-restraint assignment in public transport. The software packages for modeling public transport don't offer such functionalities. Since the influence of crowded trains in Switzerland increases, it is crucial for the traffic model of SBB-Passenger to accurately consider the capacity of trains and their load factor, respectively, while evaluating future schedules during the planning process. In this paper we introduce a method which appropriately model this effect by weighting the in-vehicle time. The penalty term applied depends on the load factor using a capacity-restr ained function. Moreover, we define an appropriate capacity-restraint function, based on the results of a stated-preference study. We also develop an algorithm using MSA which assures convergence against an equilibrium state. We investigate the proposed method in the context of various examples and show that it improves the usually applied assignment without capacity-restraints.

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