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A Field-Deployable Real-Time Laser-Based Non-Intrusive Detection System for Measurement of True Travel Time on the Highway

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Listed:
  • Cheng, Harry H.
  • Shaw, Ben
  • Palen, Joe
  • Wang, Zhaoqing
  • Chen, Bo

Abstract

In this research project we are developing a roadway detection system that can directly determineO/D data non-intrusively without violating the public's privacy (as in license plate recognitionsystems). While we have previously developed a real-time laser-based non-intrusive detectionsystem for measurement of true travel time on the highway, we improved the system further. Afeed-back loop, using microchip control, was introduced into the system. This makes the systemeasy to use. The mechanical components were also improved to increase the precision of thesystem. Software to display the information or communicate with other research groups wasupdated.

Suggested Citation

  • Cheng, Harry H. & Shaw, Ben & Palen, Joe & Wang, Zhaoqing & Chen, Bo, 2002. "A Field-Deployable Real-Time Laser-Based Non-Intrusive Detection System for Measurement of True Travel Time on the Highway," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt3p71d33t, Institute of Transportation Studies, UC Berkeley.
    • Handle: RePEc:cdl:itsrrp:qt3p71d33t
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    References listed on IDEAS

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    1. Coifman, Benjamin Andre, 1998. "Vehicle Reidentification and Travel Time Measurement Using Loop Detector Speed Traps," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt5d69n86x, Institute of Transportation Studies, UC Berkeley.
    2. Zhang, H. M., 1999. "A mathematical theory of traffic hysteresis," Transportation Research Part B: Methodological, Elsevier, vol. 33(1), pages 1-23, February.
    3. Zhang, H. M. & Recker, W. W., 1999. "On optimal freeway ramp control policies for congested traffic corridors," Transportation Research Part B: Methodological, Elsevier, vol. 33(6), pages 417-436, August.
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