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Fair User Equilibrium in a Transportation Space-Time Network

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Computational Logistics (ICCL 2020)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 12433))

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Abstract

Central in this paper is a transportation network, in which containers are transported for multiple agents. This network is modelled by a Space Time Network, in which the travel time of modalities is fixed and independent of the occupancy of the network. To find the best allocation of containers to paths in this network, a flow problem can be solved. The System Optimal solution found then is the solution in which the total costs of the network are minimised. This paper introduces the idea of a fair User Equilibrium solution in such problem. The proposed approach changes the network, using a toll scheme, such that the fair User Equilibrium Solution in this changed network equals the System Optimal solution in the original network. This can be used to fairly redistribute the cost of the network among the users.

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Authors and Affiliations

  1. Delft University of Technology, Delft, The Netherlands

    Lianne A. M. Bruijns

  2. TNO, PO Box 96800, 2509 JE, The Hague, The Netherlands

    Lianne A. M. Bruijns, Frank Phillipson & Alex Sangers

Authors
  1. Lianne A. M. Bruijns
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  2. Frank Phillipson
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  3. Alex Sangers
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Corresponding author

Correspondence to Frank Phillipson .

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Editors and Affiliations

  1. University of Twente, Enschede, The Netherlands

    Eduardo Lalla-Ruiz

  2. University of Twente, Enschede, The Netherlands

    Martijn Mes

  3. University of Hamburg, Hamburg, Germany

    Stefan Voß

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Bruijns, L.A.M., Phillipson, F., Sangers, A. (2020). Fair User Equilibrium in a Transportation Space-Time Network. In: Lalla-Ruiz, E., Mes, M., Voß, S. (eds) Computational Logistics. ICCL 2020. Lecture Notes in Computer Science(), vol 12433. Springer, Cham. https://doi.org/10.1007/978-3-030-59747-4_44

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  • DOI: https://doi.org/10.1007/978-3-030-59747-4_44

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-59746-7

  • Online ISBN: 978-3-030-59747-4

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