Shockwave Detection for Electronic Vehicle Detectors

  • Authors:
  • Hsung-Jung Cho;Ming-Te Tseng

  • Affiliations:
  • Department of Transportation Technology and Management, National Chiao Tung University, Taiwan;Department of Transportation Technology and Management, National Chiao Tung University, Taiwan

  • Venue:
  • ICCS '07 Proceedings of the 7th international conference on Computational Science, Part IV: ICCS 2007
  • Year:
  • 2007

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Abstract

Although shockwaves have been extensively adopted in traditional traffic flow theory, how to detect shockwaves using an electronic vehicle detector has not been explored. Therefore, this study illustrates, for the first time, not only how to detect shockwaves, but also how to obtain shockwaves from three new traffic parameters: Stopped, Moving, and Empty. The Stopped parameter attempts to identify a newly arrived shockwave equation when a traffic queue approaches the electronic vehicle detector. The Moving and Empty parameters derive another new arrival shockwave equation when the electronic vehicle detector fails to identify any queue. An algorithm is also created to demonstrate how to use these parameters and equations to detect shockwaves. Additionally, numerous simulations are conducted to identify the behaviors of new traffic parameters and the effectiveness of the proposed algorithm. Results of this study demonstrate that the computing algorithm for electronic vehicle detectors can accurately detect shockwaves.