• DocumentCode
    3568360
  • Title

    Energy-efficient routing strategies based on real-time data of a local traffic management center

  • Author

    Liebscher, Anja ; Krumnow, Mario ; Krimmling, Jurgen ; Hanisch, Falk ; Baker, Bernard

  • Author_Institution
    Inst. of Traffic Telematics, Tech. Univ. Dresden, Dresden, Germany
  • fYear
    2015
  • Firstpage
    74
  • Lastpage
    80
  • Abstract
    Electric cars form nowadays a competitive alternative to conventional cars with combustion engine. Unfortunately, there is still the problem of a relatively short range electric cars are able to reach which makes it quite unattractive to costumers. Many research projects deal with this issue to increase the range by following different approaches. E-City-Routing is one of those projects aiming to develop an energy-efficient routing algorithm especially for urban areas with its test field in Dresden, Germany. Thereby not only vehicle- and infrastructure-related impact factors are considered. Also dynamic traffic data provided by the local traffic management center such as current traffic situations and traffic signal states are taken into account in order to route electric cars with a minimum energy consumption through the city.
  • Keywords
    automobiles; electric vehicles; intelligent transportation systems; road traffic control; vehicle routing; Dresden; Germany; dynamic traffic data; e-city-routing; electric cars; energy-efficient routing strategies; infrastructure-related impact factors; local traffic management center; minimum energy consumption; real-time data; traffic signal states; vehicle-infrastructure-related impact factors; Energy consumption; Heuristic algorithms; Mathematical model; Roads; Routing; Vehicle dynamics; Vehicles; Dresden; ITS; algorithm; e-mobility; electric car; routing; traffic management center;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Models and Technologies for Intelligent Transportation Systems (MT-ITS), 2015 International Conference on
  • Print_ISBN
    978-9-6331-3140-4
  • Type

    conf

  • DOI
    10.1109/MTITS.2015.7223239
  • Filename
    7223239