• DocumentCode
    240334
  • Title

    City traffic management model using Wireless Sensor Networks

  • Author

    Rahman, Mosaddequr ; Ahmed, N.U. ; Mouftah, Hussein T.

  • Author_Institution
    Sch. of Electr. Eng. & Comput. Sci., Univ. of Ottawa, Ottawa, ON, Canada
  • fYear
    2014
  • fDate
    4-7 May 2014
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Road network of a region is an important mean of overall development. To manage the traffic in a city environment is a key factor for the city authority. In this perspective, reducing the road traffic congestion is a significant challenge. In this paper, a dynamic mathematical model for managing road traffic in important intersections of a city by reducing congestion is presented. This system will be built based on wireless sensor network which will detect the congestion on the road and broadcast the congestion information to the drivers in order to detour for avoiding congestion. Matlab simulation of this proposed model was performed with traffic generated following Poisson Distribution for twelve selected important intersections of a city and cost function was estimated for the generated traffic. Simulation results show that this traffic scheme succeeds in reducing the congestion compared to the traffic situation without this scheme.
  • Keywords
    Poisson distribution; traffic engineering computing; wireless sensor networks; Matlab simulation; Poisson distribution; city authority; city environment; city traffic management model; congestion avoidance; congestion information; cost function; generated traffic; mathematical model; road network; road traffic congestion; wireless sensor networks; Adaptation models; Cities and towns; Mathematical model; Monitoring; Roads; Vehicles; Wireless sensor networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical and Computer Engineering (CCECE), 2014 IEEE 27th Canadian Conference on
  • Conference_Location
    Toronto, ON
  • ISSN
    0840-7789
  • Print_ISBN
    978-1-4799-3099-9
  • Type

    conf

  • DOI
    10.1109/CCECE.2014.6901145
  • Filename
    6901145