Capacity, information and minority games in public transport

Many public transport operators are faced with high peak demands. This leads to crowded vehicles and discomfort for the passengers. The increasing availability of information technologies creates new opportunities for passengers to avoid crowding and for operators to inform passengers and reallocate capacities quicker than before. The authors define and implement a simple model based on minority games, a class of games that deals with crowding dynamics, adapted to a public transport setting. The authors propose a model which includes multiple resources and heterogeneous passenger preferences. The authors have conducted two simulation studies, investigating the dynamics of crowding within a simplified public transport setting. In their first experiment the authors investigate the effect of the availability of information on crowding. In their second experiment the authors study dynamic optimization of rolling stock capacities. The authors find that both the information disclosed and the capacity optimization mechanism have an impact on the number of passengers utilizing resources and their satisfaction. As such, these models enable the development and analysis of new operator policies to deal with crowded situations.

Language

  • English

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Filing Info

  • Accession Number: 01611448
  • Record Type: Publication
  • Files: TRIS
  • Created Date: Sep 2 2016 8:51AM