Ad Hoc Networks. Second International Conference, ADHOCNETS 2010, Victoria, BC, Canada, August 18-20, 2010, Revised Selected Papers

Research Article

A Vehicle-to-Vehicle Communication Protocol for Collaborative Identification of Urban Traffic Conditions

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  • @INPROCEEDINGS{10.1007/978-3-642-17994-5_33,
        author={\`{U}yvind Risan and Evtim Peytchev},
        title={A Vehicle-to-Vehicle Communication Protocol for Collaborative Identification of Urban Traffic Conditions},
        proceedings={Ad Hoc Networks. Second International Conference, ADHOCNETS 2010, Victoria, BC, Canada, August 18-20, 2010, Revised Selected Papers},
        proceedings_a={ADHOCNETS},
        year={2012},
        month={5},
        keywords={Traffic information ad-hoc networks area discovery ubiquitous networking traffic conditions communication protocol vehicle-to-vehicle communication V2V collaborative (cooperative) wireless traffic information systems},
        doi={10.1007/978-3-642-17994-5_33}
    }
    
  • Øyvind Risan
    Evtim Peytchev
    Year: 2012
    A Vehicle-to-Vehicle Communication Protocol for Collaborative Identification of Urban Traffic Conditions
    ADHOCNETS
    Springer
    DOI: 10.1007/978-3-642-17994-5_33
Øyvind Risan1,*, Evtim Peytchev2,*
  • 1: Norwegian University of Science and Technology
  • 2: Nottingham Trent University
*Contact email: risan@item.ntnu.no, evtim.peytchev@ntu.ac.uk

Abstract

This paper proposes a vehicle-to-vehicle (V2V) communication protocol which makes it possible to discover and share traffic status information in a novel, efficient and comprehensive way. The protocol is specifically designed to work in an environment without infrastructure where all the vehicles (nodes) can talk to each other (ad-hoc network) and collaboratively generate new knowledge relevant to the traffic conditions existing at that moment in an urban environment. The nature of such a network demands self-configuration and autonomous behaviour. The protocol adheres to these principles and makes it possible for the nodes to initiate discovery and determine the location of areas where specific traffic conditions apply. The proposed “Single Ripple” algorithm determines these areas by only involving vehicles with the desired conditions and their neighbours. The algorithm imposes only a minimal load onto the wireless network.