• DocumentCode
    1894559
  • Title

    Vehicle speed control algorithms for eco-driving

  • Author

    Kundu, Sandipan ; Wagh, Abhay ; Chunming Qiao ; Xu Li ; Kundu, Sandipan ; Sadek, Adel ; Hulme, K. ; Changxu Wu

  • Author_Institution
    State Univ. of New York Univ. at Buffalo, Buffalo, NY, USA
  • fYear
    2013
  • fDate
    2-6 Dec. 2013
  • Firstpage
    931
  • Lastpage
    932
  • Abstract
    Given the rise in fuel prices and the harmful environmental consequences of excessive fuel consumption, we address a new problem in eco-driving, which examines how the upcoming V2V/V2I technology can be harnessed to improve fuel-efficiency. Unlike most of the existing studies in this area where the focus of control is on infrastructure side (i.e., signal timing plans), we present a new approach to eco-speed control at a microscopic level. We use a concept of platoon of vehicles to reduce fuel consumption in a journey covering multiple intersections in a multiple vehicle setting. Three heuristic algorithms are proposed and numerical results from simulations are also presented.
  • Keywords
    ecology; energy conservation; energy consumption; fuel economy; intelligent transportation systems; road traffic control; road vehicles; velocity control; V2V/V2I technology; eco-driving; eco-speed control; fuel consumption; fuel prices; fuel-efficiency; harmful environmental consequences; heuristic algorithms; intelligent transportation system; vehicle platoon; vehicle speed control algorithms; Acceleration; Educational institutions; Fuels; Microscopy; Timing; Vehicles; V2I; V2V; eco-driving; fuel consumption; platoon;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Connected Vehicles and Expo (ICCVE), 2013 International Conference on
  • Conference_Location
    Las Vegas, NV
  • Type

    conf

  • DOI
    10.1109/ICCVE.2013.6799930
  • Filename
    6799930