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Fuzzy Logic Ticket Rate Predictor for Congestion Control in Vehicular Networks

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Abstract

Cooperative vehicular systems are currently being investigated to design innovative intelligent transportation systems (ITS) solutions for road traffic management and safety. This paper proposes a preventive congestion control mechanism applied at highway entrances and devised for ITS systems. Our mechanism integrates different types of vehicles and copes with vehicular traffic fluctuations due to an innovative fuzzy logic ticket rate predictor. The proposed mechanism efficiently detects road traffic congestion and provides valuable information for the vehicular admission control. When we apply an authentic enhanced mobility model, the results demonstrate the mechanism capability to accurately characterize road traffic congestion conditions, shape vehicular traffic and reduce travel time.

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Author information

Authors and Affiliations

  1. PRiSM Lab (CNRS UMR 8144), Université de Versailles-Saint Quentin, 45 Avenue des Etats Unis, Versailles Cedex, France

    Rola Naja

  2. Centre Azm, EDST, Lebanese University, Tripoli, Lebanon

    Rola Naja & Roland Matta

  3. Murex System, Beirut, Lebanon

    Roland Matta

Authors
  1. Rola Naja
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  2. Roland Matta
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Correspondence to Rola Naja.

Additional information

This research paper is supported by Co-Drive project, a French project that is a co-pilot for an intelligent road and vehicular communication system. It aims at validating a pre-industrialization approach towards a cooperative driving system between user, vehicle and Infrastructure to suggest an intelligent secure and calm route for sustainable mobility.

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Naja, R., Matta, R. Fuzzy Logic Ticket Rate Predictor for Congestion Control in Vehicular Networks. Wireless Pers Commun 79, 1837–1858 (2014). https://doi.org/10.1007/s11277-014-1961-2

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  • DOI: https://doi.org/10.1007/s11277-014-1961-2

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