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Modelling, Computation and Optimization in Information Systems and Management Sciences pp 449–458Cite as

Transit Network Design for Green Vehicles Routing

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Part of the Advances in Intelligent Systems and Computing book series (AISC,volume 360)

Abstract

Transport of modern worldwide cities generates harmful emissions that accounts for nearly half of the total pollution in urban areas. Therefore local governments are forced to stimulate appearance of new fuels and technological innovations in urban mobility. Nevertheless there is a lack of methodological tools for supporting decision makers in spheres of motivation for using green vehicles by drivers and allocation available green capacity. This paper is devoted to the problem of green and non-green traffic flow assignment on the network consisting of green and non-green routes. The approach of defining green routes (green subnetwork) which are fully loaded and provide less travel time for green vehicles are developed. Conditions of well-balanced green subnetwork are obtained explicitly for the network of parallel routes.

Keywords

  • routing
  • Wardrop equilibrium
  • green routes allocation
  • transit network design

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  • DOI: 10.1007/978-3-319-18167-7_39
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Author information

Authors and Affiliations

  1. Saint-Petersburg State University, Universitetskaya Nab. 7-9, 199034, Saint-Petersburg, Russia

    Victor Zakharov & Alexander Krylatov

Authors
  1. Victor Zakharov
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  2. Alexander Krylatov
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Editor information

Editors and Affiliations

  1. Laboratory of Theoretical and Applied Computer Science, University of Lorraine, Metz, France

    Hoai An Le Thi

  2. Laboratory of Mathematics, National Institute for Applied Sciences, Rouen, France

    Tao Pham Dinh

  3. Division of Knowledge Management Systems, Wroclaw University of Technology, Poland

    Ngoc Thanh Nguyen

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Zakharov, V., Krylatov, A. (2015). Transit Network Design for Green Vehicles Routing. In: Le Thi, H., Pham Dinh, T., Nguyen, N. (eds) Modelling, Computation and Optimization in Information Systems and Management Sciences. Advances in Intelligent Systems and Computing, vol 360. Springer, Cham. https://doi.org/10.1007/978-3-319-18167-7_39

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  • DOI: https://doi.org/10.1007/978-3-319-18167-7_39

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-18166-0

  • Online ISBN: 978-3-319-18167-7

  • eBook Packages: EngineeringEngineering (R0)