• DocumentCode
    3478043
  • Title

    Virtual detector in adaptive traffic signal control system based on support vector machine

  • Author

    Zu, Yongchang ; Lin, Ciyun ; Yang, Zhaosheng ; Gong, Bowen

  • Author_Institution
    Dept. of Traffic & Transp., Univ. of Jilin, Changchun, China
  • fYear
    2009
  • fDate
    5-7 Aug. 2009
  • Firstpage
    961
  • Lastpage
    965
  • Abstract
    Any traffic responsive system depends on its ability to sense traffic flow. In traffic engineering, detector data can not satisfy the demand of adaptive traffic signal control system because of its high cost, low coverage area, difficult to update and maintenance. Therefore, in order to obtain more detail of traffic condition information such as traffic volume, mean velocity, link travel time, occupancy, etc. for adaptive traffic control system, as the concept of the software-is-namely instrument, we put forward a technique of virtual detector. It is developed, applied virtual instrument technology, traffic flow theory, multi-sensor data fusion technology, database and fault diagnostic system.
  • Keywords
    adaptive control; adaptive systems; automated highways; fault diagnosis; road traffic; sensor fusion; support vector machines; traffic information systems; virtual instrumentation; ITS; adaptive traffic signal control system; database; fault diagnostic system; multisensor data fusion technology; software-is-namely instrument concept; support vector machine; traffic engineering; traffic flow theory; traffic responsive system; virtual detector; virtual instrument technology; Adaptive control; Adaptive signal detection; Adaptive systems; Control systems; Costs; Data engineering; Detectors; Instruments; Programmable control; Support vector machines; Data Fusion; Support Vector Machines; Traffic Signal Control; Virtual Detector;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Automation and Logistics, 2009. ICAL '09. IEEE International Conference on
  • Conference_Location
    Shenyang
  • Print_ISBN
    978-1-4244-4794-7
  • Electronic_ISBN
    978-1-4244-4795-4
  • Type

    conf

  • DOI
    10.1109/ICAL.2009.5262558
  • Filename
    5262558