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Use of Los Angeles Freeway Service Patrol Vehicles as Probe Vehicles

Author

Listed:
  • Moore, II, James E.
  • Cho, Seongkil
  • Basu, Arup
  • Mezger, Daniel B.

Abstract

The Los Angeles County Metropolitan Transportation Authority/California Department of Transportation/California Highway Patrol Freeway Service Patrol (FSP) program is the largest in the nation, operating 144 service vehicles on 40 beats covering393 center-line freeway miles in Los Angeles County. The Caltrans District 7 Transportation Management Center (TMC) exercises FSP fleet control via the California Highway Patrol Computer Aided Dispatch (CAD) system. Each freeway service patrol truck is equipped with a Mobile Data Terminal (MDT), polled by the Automatic Vehicle Location (AVL) system. The system includes a Transportation Management Solutions Incorporated (TMSI, now Orbital TMSI) Geo-Position System (GPS) that can identify transponder locations to within 100 feet. There is potential for using the GPS and/or the AVL information to determine FSP truck speeds automatically because field units are polled frequently, and GPS locations are sufficiently accurate. This research assesses the feasibility of using existing FSP trucks as probe vehicles for measuring level of service on Los Angeles freeways. If the information FSP trucks provide in Los Angeles is of sufficient quality and quantity to measure level of service on the network, then FSP trucks (or other similarly-equipped fleets) would also be useful for measuring LOS in other Caltrans Districts, especially those with relatively fewer loop detectors than Caltrans District 7.

Suggested Citation

  • Moore, II, James E. & Cho, Seongkil & Basu, Arup & Mezger, Daniel B., 2001. "Use of Los Angeles Freeway Service Patrol Vehicles as Probe Vehicles," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt8qf8430v, Institute of Transportation Studies, UC Berkeley.
    • Handle: RePEc:cdl:itsrrp:qt8qf8430v
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    References listed on IDEAS

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    1. Malik, Jitendra & Russell, Stuart, 1997. "Traffic Surveillance And Detection Technology Development: New Traffic Sensor Technology Final Report," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt2941r5sq, Institute of Transportation Studies, UC Berkeley.
    2. Westerman, Marcel & Litjens, Remco & Linnartz, Jean-paul, 1996. "Integration Of Probe Vehicle And Induction Loop Data: Estimation Of Travel Times And Automatic Incident Detection," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt8mh629c3, Institute of Transportation Studies, UC Berkeley.
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    Cited by:

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    2. Herrera, Juan C. & Work, Daniel B. & Herring, Ryan & Ban, Xuegang Jeff & Bayen, Alexandre M, 2009. "Evaluation of Traffic Data Obtained via GPS-Enabled Mobile Phones: the Mobile Century Field Experiment," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt0sd42014, Institute of Transportation Studies, UC Berkeley.
    3. Wong, Wai & Wong, S.C., 2015. "Systematic bias in transport model calibration arising from the variability of linear data projection," Transportation Research Part B: Methodological, Elsevier, vol. 75(C), pages 1-18.
    4. Wong, Wai & Wong, S.C., 2016. "Biased standard error estimations in transport model calibration due to heteroscedasticity arising from the variability of linear data projection," Transportation Research Part B: Methodological, Elsevier, vol. 88(C), pages 72-92.
    5. McNally, M.G. & Marca, J.E. & Rindt, C.R. & Koos, A.M., 2002. "GPS/GIS Technologies for Traffic Surveillance and Management: A Testbed Implementation Study," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt6d78z9wb, Institute of Transportation Studies, UC Berkeley.
    6. Wai Wong & S. C. Wong, 2019. "Unbiased Estimation Methods of Nonlinear Transport Models Based on Linearly Projected Data," Transportation Science, INFORMS, vol. 53(3), pages 665-682, May.
    7. McNally, M. G. & Marca, J. E. & Rindt, C. R. & Koos, A. M., 2003. "TRACER: In-vehicle, GPS-based, Wireless Technology for Traffic Surveillance and Management," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt5sp425vb, Institute of Transportation Studies, UC Berkeley.

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