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Congestion avoidance in city traffic

  • Rahul Kala
  • , Kevin warwick

    Research output: Contribution to journalArticle

    189 Downloads (Pure)

    Abstract

    The number of vehicles on the road (worldwide) is constantly increasing, causing traffic jams and congestion especially in city traffic. Anticipatory vehicle routing techniques have thus far been applied to fairly small networked traffic scenarios and uniform traffic. We note here a number of limitations of these techniques and present a routing strategy on the assumption of a city map that has a large number of nodes and connectivity and where the vehicles possess highly varying speed capabilities. A scenario of operation with such characteristics has not previously been sufficiently studied in the literature. Frequent short-term planning is preferred as compared with infrequent planning of the complete map. Experimental results show an efficiency boost when single-lane overtaking is allowed, traffic signals are accounted for and every vehicle prefers to avoid high traffic density on a road by taking an alternative route. Comparisons with optimistic routing, pessimistic routing and time message channel routing are given Publisher statement: This is the peer reviewed version of the following article: Kala, Rahul and Warwick, K. (2015) Congestion avoidance in city traffic. Journal of Advanced Transportation, volume 49 (4): 581–595, which has been published in final form at http://dx.doi.org/10.1002/atr.1290. This article may be used for non-commercial purposes in accordance With Wiley Terms and Conditions for self-archiving (http://olabout.wiley.com/WileyCDA/Section/id-820227.html#terms).
    Original languageEnglish
    Pages (from-to)581–595
    JournalJournal of Advanced Transportation
    Volume49
    Issue number4
    DOIs
    Publication statusPublished - 2015

    Bibliographical note

    This is the peer reviewed version of the following article:
    Kala, Rahul and Warwick, K. (2015) Congestion avoidance in city traffic. Journal of Advanced Transportation, volume 49 (4): 581–595, which has been published in final form at http://dx.doi.org/10.1002/atr.1290. This article may be used for non-commercial purposes in accordance With Wiley Terms and Conditions for self-archiving (http://olabout.wiley.com/WileyCDA/Section/id-820227.html#terms).

    UN SDGs

    This output contributes to the following UN Sustainable Development Goals (SDGs)

    1. SDG 11 - Sustainable Cities and Communities
      SDG 11 Sustainable Cities and Communities

    Keywords

    • vehicle routing
    • congesting avoidance
    • planning
    • traffic simulation
    • intelligent vehicles

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