• DocumentCode
    114649
  • Title

    Urban traffic Eco-Driving: Speed advisory tracking

  • Author

    De Nunzio, Giovanni ; Canudas de Wit, Carlos ; Moulin, Philippe

  • Author_Institution
    GIPSA-Lab., Grenoble, France
  • fYear
    2014
  • fDate
    15-17 Dec. 2014
  • Firstpage
    1747
  • Lastpage
    1752
  • Abstract
    The evaluation of the benefits of an Eco-Driving assistance system is carried out in the urban environment in presence of traffic lights. The traffic evolution is modeled macroscopically with the Urban Variable-Length Model [1] in a variable speed limits framework. Under the assumption of equal boundary flows, the vehicles in a road section dispose themselves according to well defined equilibrium conditions which are dependent on the traveling speed in the free-flow part of the section. Given certain initial traffic conditions, an optimal speed limit for the section can be found in order to drive the system to an efficient equilibrium state. Further analysis of the equilibrium conditions and the stability properties of the system is conducted in this work. The system is proved to be controllable, under the working hypotheses, and a controller is designed to simulate the response of the drivers compliant to the eco-speed advisory. A sub-optimal control strategy is finally proposed also in the case of unequal boundary flows.
  • Keywords
    road traffic control; stability; suboptimal control; velocity control; eco-driving assistance system; equal boundary flows; equilibrium conditions; road section free-flow part; speed advisory tracking; stability properties; sub-optimal control; traffic lights; urban traffic eco-driving; urban variable-length model; Control systems; Mathematical model; Optimization; Roads; Steady-state; Vehicles; Traffic modeling; optimal speed advisory; traffic lights; variable speed limits;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control (CDC), 2014 IEEE 53rd Annual Conference on
  • Conference_Location
    Los Angeles, CA
  • Print_ISBN
    978-1-4799-7746-8
  • Type

    conf

  • DOI
    10.1109/CDC.2014.7039651
  • Filename
    7039651