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New Aggregation Strategies to Improve Velocity Estimation from Single Loop Detectors

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  • Coifman, Benjamin
  • Lee, Zu-Hsu

Abstract

Loop detectors are the preeminent vehicle detector for freeway traffic surveillance. Although single loops have been used for decades, debate continues on how to interpret the measurements. Many researchers have sought better estimates of velocity from single loops. The preceding work has emphasized post-processing techniques. Although rarely noted, these techniques effectively seek to reduce the bias due to long vehicles in measured occupancy and flow. This paper presents a different approach, using a new aggregation methodology to estimate velocity and reduce the impact of long vehicles in the original traffic measurements. Keywords: traffic surveillance, loop detectors, velocity estimation

Suggested Citation

  • Coifman, Benjamin & Lee, Zu-Hsu, 2000. "New Aggregation Strategies to Improve Velocity Estimation from Single Loop Detectors," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt3xt4s4xf, Institute of Transportation Studies, UC Berkeley.
    • Handle: RePEc:cdl:itsrrp:qt3xt4s4xf
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    References listed on IDEAS

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    1. Dailey, D. J., 1999. "A statistical algorithm for estimating speed from single loop volume and occupancy measurements," Transportation Research Part B: Methodological, Elsevier, vol. 33(5), pages 313-322, June.
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