• DocumentCode
    2374696
  • Title

    A new method for design and implementation of intelligent traffic control system based on fuzzy logic using FPGA

  • Author

    Ramzanzad, Meisam ; Kanan, Hamidreza Rashidy

  • Author_Institution
    Comput. & IT Eng. Dept., Islamic Azad Univ., Qazvin, Iran
  • fYear
    2013
  • fDate
    27-29 Aug. 2013
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    In order to manage the traffic at the intersection, the traffic lights are often used. These lights are turned on and off at the predetermined time. Intelligent traffic control systems are designed to dynamically treat the problem of traffic and reduce traffic, pollution and transit time of vehicles at the intersection. In this paper we present a design of intelligent traffic control based on fuzzy logic. The input parameters for intelligent controller are selected with the various modes of intersections to be a true simulation of the intersection environment. In order to facilitate the hardware implementation and increasing the computational speed decision algorithm state machine in this system is written in Verilog language and has capability to implement in the Field Programmable Gate Array (FPGA). The simulation results show that the proposed traffic signal controller system (that has been) designed with fuzzy logic has better performance than other designed systems.
  • Keywords
    control system synthesis; field programmable gate arrays; fuzzy control; fuzzy logic; hardware description languages; intelligent control; pollution control; road traffic control; traffic engineering computing; FPGA; Verilog language; computational speed decision algorithm state machine; field programmable gate array; fuzzy logic; intelligent traffic control system design; pollution reduction; traffic lights; traffic management; traffic reduction; traffic signal controller system; transit time reduction; FPGA; Fuzzy Logic; Intelligent Traffic Control System; Intelligent Traffic Signal; State Machine;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems (IFSC), 2013 13th Iranian Conference on
  • Conference_Location
    Qazvin
  • Print_ISBN
    978-1-4799-1227-8
  • Type

    conf

  • DOI
    10.1109/IFSC.2013.6675630
  • Filename
    6675630