• DocumentCode
    2146777
  • Title

    Towards experimental evaluation of intelligent Transportation System safety and traffic efficiency

  • Author

    Ekedebe, Nnanna ; Lu, Chao ; Yu, Wei

  • Author_Institution
    Department of Computer and Information Sciences, Towson University, Maryland 21252, USA
  • fYear
    2015
  • fDate
    8-12 June 2015
  • Firstpage
    3757
  • Lastpage
    3762
  • Abstract
    Traffic efficiency and safety are major hallmarks of Intelligent Transportation Systems (ITS). To accurately validate and investigate the effectiveness of traffic efficiency and safety application of ITSs, realistic studies are highly demanded [1]. In this paper, using real-world traffic and simulation data, we developed a realistic ITS test bed and a mobile application known as the Incident Warning Application (IWA) with the view of answering the following question: what is the traffic efficiency and safety benefits of Vehicle-to-Infrastructure (V2I) communications in a realistic ITS environment? Our real-world dataset consists of six weeks road traffic data of the Maryland (MD)/Washington DC and Virginia (VA) areas from August 8th, 2012 to September 27th, 2012. Our evaluation data shows that vehicles running our IWA application show improvements in almost all of the performance metrics evaluated. Specifically, our data shows that improvements in travel time (139.89%), fuel consumption (11.77%), and environmental emissions - carbon dioxide [CO2] (11.77%), etc. can be achieved through V2I communication.
  • Keywords
    Mobile communication; Mobile computing; Roads; Routing; Safety; Vehicles; Intelligent transportation system; safety; traffic efficiency; vehicle-to-vehicle communication; vehicle-toinfrastructure communication; vehicular ad hoc networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications (ICC), 2015 IEEE International Conference on
  • Conference_Location
    London, United Kingdom
  • Type

    conf

  • DOI
    10.1109/ICC.2015.7248909
  • Filename
    7248909