IDEAS home Printed from https://ideas.repec.org/p/cdl/itsrrp/qt8qf8430v.html
   My bibliography  Save this paper

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
    as

    Download full text from publisher

    File URL: https://www.escholarship.org/uc/item/8qf8430v.pdf;origin=repeccitec
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. 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.
    2. 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.
    3. Glykeria Myrovali & Theodoros Karakasidis & Maria Morfoulaki & Georgia Ayfantopoulou, 2021. "Representativeness of Taxi GPS-Enabled Travel Time Data Using Gamma Generalized Linear Model," International Journal of Decision Support System Technology (IJDSST), IGI Global, vol. 13(3), pages 1-18, July.
    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., 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.
    6. 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.
    7. 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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Coifman, Benjamin & Cassidy, Michael, 2000. "Automated Travel Time Measurement Using Vehicle Lengths from Loop Detector Speed Traps," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt54b9t4b6, Institute of Transportation Studies, UC Berkeley.
    2. 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.
    3. Herrera, Juan C. & Bayen, Alexandre M., 2010. "Incorporation of Lagrangian measurements in freeway traffic state estimation," Transportation Research Part B: Methodological, Elsevier, vol. 44(4), pages 460-481, May.
    4. Cassidy, Michael & Coifman, Benjamin, 1998. "Design Of A Machine Vision-based, Vehicle Actuated Traffic Signal Controller," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt2rg0957h, Institute of Transportation Studies, UC Berkeley.
    5. Herrera, Juan C & Bayen, Alexandre M, 2007. "Traffic flow reconstruction using mobile sensors and loop detector data," University of California Transportation Center, Working Papers qt6v40f0bs, University of California Transportation Center.
    6. Hiribarren, Gabriel & Herrera, Juan Carlos, 2014. "Real time traffic states estimation on arterials based on trajectory data," Transportation Research Part B: Methodological, Elsevier, vol. 69(C), pages 19-30.
    7. Coifman, Benjamin & Varaiya, Pravin, 2002. "Deployment and Evaluation of Real-Time Vehicle Reidentification from an Operations Perspective," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt6tp5w2gt, Institute of Transportation Studies, UC Berkeley.
    8. Anthony G O Yeh & P C Lai & S C Wong & Nelson H C Yung, 2004. "The Architecture for a Real-Time Traffic Multimedia Internet Geographic Information System," Environment and Planning B, , vol. 31(3), pages 349-366, June.
    9. 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.
    10. Coifman, Benjamin, 1999. "Vehicle Reidentification and Travel Measurements on Congested Freeways," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt0zt5n54b, Institute of Transportation Studies, UC Berkeley.
    11. Hall, Randolph W., 2001. "Incident Management: Process Analysis and Improvement," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt1jf6j37t, Institute of Transportation Studies, UC Berkeley.
    12. Li, Qingquan & Zhang, Tong & Wang, Handong & Zeng, Zhe, 2011. "Dynamic accessibility mapping using floating car data: a network-constrained density estimation approach," Journal of Transport Geography, Elsevier, vol. 19(3), pages 379-393.
    13. Coifman, Benjamin & Varaiya, Pravin, 2002. "Improving Operations Using Advanced Surveillance Metrics and Existing Traffic Detectors," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt1n63d509, Institute of Transportation Studies, UC Berkeley.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:cdl:itsrrp:qt8qf8430v. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Lisa Schiff (email available below). General contact details of provider: https://edirc.repec.org/data/itucbus.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.