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Dual roadside seismic sensor for moving road vehicle detection and characterization

  • Hua Wang*
  • , Wei Quan
  • , Yinhai Wang
  • , Gregory R. Miller
  • *Corresponding author for this work
  • School of Transportation Science and Engineering, Harbin Institute of Technology
  • University of Washington

Research output: Contribution to journalArticlepeer-review

Abstract

This paper presents a method for using a dual roadside seismic sensor to detect moving vehicles on roadway by installing them on a road shoulder. Seismic signals are split into fixed time intervals in recording. In each interval, the time delay of arrival (TDOA) is estimated using a generalized cross-correlation approach with phase transform (GCC-PHAT). Various kinds of vehicle characterization information, including vehicle speed, axle spacing, detection of both vehicle axles and moving direction, can also be extracted from the collected seismic signals as demonstrated in this paper. The error of both vehicle speed and axle spacing detected by this approach has been shown to be less than 20% through the field tests conducted on an urban street in Seattle. Compared to most existing sensors, this new design of dual seismic sensor is cost effective, easy to install, and effective in gathering information for various traffic management applications.

Original languageEnglish
Pages (from-to)2892-2910
Number of pages19
JournalSensors
Volume14
Issue number2
DOIs
StatePublished - 12 Feb 2014
Externally publishedYes

Keywords

  • Axle detection
  • Generalized cross correlation
  • Source localization
  • Time delay of arrival(TDOA)
  • Vehicle detection

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