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Evaluation Of The Freeway Service Patrol ( F S P ) In Los Angeles

Author

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  • Skabardonis, Alexander
  • Petty, Karl
  • Varaiya, Pravin
  • Bertini, Robert

Abstract

This report presents the results of a study designed to evaluate the effectiveness of the freeway service patrols (FSP) on a section of I-10 in Los Angeles. An evaluation methodology was used to estimate incident delays based on loop detector data and probe vehicles, and derive estimates of savings in performance measures in the absence of data for before FSP conditions. The estimated benefit cost ratios based on delay and fuel savings for a range of typical reductions in incident durations indicate that FSP produces significant benefits at the test site. Additional benefits include reductions in air pollutant emissions, secondary accidents, highway patrol time used on non-enforcement activities, increased safety to assisted motorists, and more efficient operation of the freeway system.

Suggested Citation

  • Skabardonis, Alexander & Petty, Karl & Varaiya, Pravin & Bertini, Robert, 1998. "Evaluation Of The Freeway Service Patrol ( F S P ) In Los Angeles," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt3920p806, Institute of Transportation Studies, UC Berkeley.
    • Handle: RePEc:cdl:itsrrp:qt3920p806
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    Citations

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    Cited by:

    1. Varaiya, Pravin, 2007. "Finding and Analyzing True Effect of Non-recurrent Congestion on Mobility and Safety," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt3mh7d161, Institute of Transportation Studies, UC Berkeley.
    2. Baykal-Gürsoy, M. & Xiao, W. & Ozbay, K., 2009. "Modeling traffic flow interrupted by incidents," European Journal of Operational Research, Elsevier, vol. 195(1), pages 127-138, May.
    3. Varaiya, Pravin, 2008. "Causes of Freeway Productivity Decline and the Opportunities for Gain: A Quantitative Study," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt18v533h7, Institute of Transportation Studies, UC Berkeley.
    4. Skabardonis, Alexander & Varaiya, Pravin P. & Petty, Karl F., 2008. "Measuring Recurrent and Non-Recurrent Traffic Congestion," University of California Transportation Center, Working Papers qt3nh629g9, University of California Transportation Center.
    5. Pavithra Parthasarathi & David Levinson, 2004. "Freeway Service Patrols: A Stated Preference Analysis of Insurance Values," Working Papers 200410, University of Minnesota: Nexus Research Group.
    6. Yafeng Yin, 2008. "A Scenario-based Model for Fleet Allocation of Freeway Service Patrols," Networks and Spatial Economics, Springer, vol. 8(4), pages 407-417, December.
    7. Thill, Jean-Claude & Rogova, Galina & Yan, Jun, 2004. "Evaluating Benefits And Costs Of Intelligent Transportation Systems Elements From A Planning Perspective," Research in Transportation Economics, Elsevier, vol. 8(1), pages 571-603, January.
    8. Geroliminis, Nikolas & Karlaftis, Matthew G. & Skabardonis, Alexander, 2009. "A spatial queuing model for the emergency vehicle districting and location problem," Transportation Research Part B: Methodological, Elsevier, vol. 43(7), pages 798-811, August.
    9. Skabardonis, Alexander & Varaiya, P P & Petty, Karl, 2008. "Measuring Recurrent And Non-Recurrent Traffic Congestion," University of California Transportation Center, Working Papers qt9970j3c7, University of California Transportation Center.
    10. Levinson, David & Parthasarathi, Pavithra Kandadai, 2001. "Evaluation Methods for Measuring the Value of ITS Services and Benefits from Implementation: Part X Freeway Service Patrols," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt8nj1t4bg, Institute of Transportation Studies, UC Berkeley.
    11. Yafeng Yin, 2006. "Optimal Fleet Allocation of Freeway Service Patrols," Networks and Spatial Economics, Springer, vol. 6(3), pages 221-234, September.
    12. Pedro Cesar Lopes Gerum & Andrew Reed Benton & Melike Baykal-Gürsoy, 2019. "Traffic density on corridors subject to incidents: models for long-term congestion management," EURO Journal on Transportation and Logistics, Springer;EURO - The Association of European Operational Research Societies, vol. 8(5), pages 795-831, December.

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