Technical Papers
Jul 2, 2020

Impact of Freeway Service Patrols on Incident Clearance Duration: Case Study of Florida’s Road Rangers

Publication: Journal of Transportation Engineering, Part A: Systems
Volume 146, Issue 9

Abstract

Florida’s Road Rangers monitor the freeways for incidents to minimize incident clearance duration. The objective of this study was to evaluate the extent to which Road Rangers reduce incident clearance duration. Because incident clearance duration distributions are often right-skewed, the study applied quantile regression to relate incident clearance duration to influencing factors. Data skewed to the right are usually a result of lower bounds in a data set being extremely low relative to the rest of the data. Data from 28,000 incidents that occurred on freeways in Jacksonville, Florida, for the years 2014–2017 were analyzed. Of the factors analyzed, crash events, incident severity, shoulder blockage, weekends, nighttime, number of responding agencies, and towing were found to significantly increase incident clearance durations. Road Rangers were found to reduce incident clearance duration by 25.3%. In other words, shorter incident clearance durations were observed when Road Rangers responded to incidents compared to other agencies. The results of this study can, in general, provide researchers and practitioners with an effective way of evaluating the mobility benefits of the Road Ranger program.

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Data Availability Statement

All data used during the study were provided by the Florida Department of Transportation. Direct requests for these materials may be made to the provider as indicated in the “Acknowledgments.”

Acknowledgments

This project was funded by the Florida Department of Transportation and conducted as a cooperative effort by the University of North Florida (UNF)and Florida International University (FIU). The opinions, results, and findings expressed in this paper are those of the authors and do not necessarily represent the views of the Florida Department of Transportation, Florida International University, or University of North Florida.

References

Amer, A., E. Roberts, U. Mangar, W. H. Kraft, J. T. Wanat, P. C. Cusolito, J. R. Hogan, and X. Zhao. 2015. “Traffic incident management gap analysis primer.” Accessed November 23, 2018. https://ops.fhwa.dot.gov/publications/fhwahop15007/index.htm.
Baird, M. E. 2008. “Overview of freeway service patrols in the United States: Final report.” Accessed November 23, 2018. http://www.safehighways.org/wp-content/uploads/2011/05/FSP_FinalReportNov2008-Malcolm-Baird.pdf.
Carrick, G., S. Srinivasan, and K. Jermprapai. 2018. “Safety of freeway service patrol operations: A case study of Florida road rangers.” Transp. Res. Rec. 2672 (33): 31–41. https://doi.org/10.1177/0361198118789952.
Chimba, D., B. Kutela, G. Ogletree, F. Horne, and M. Tugwell. 2014. “Impact of abandoned and disabled vehicles on freeway incident duration.” J. Transp. Eng. 140 (3): 04013013. https://doi.org/10.1061/(ASCE)TE.1943-5436.0000635.
Chou, C., E. Miller-Hooks, and I. Promisel. 2009. “Benefit-cost analysis of freeway service patrol programs: Methodology and case study.” Adv. Transp. Stud. 20: 81–96.
Ding, C., X. Ma, Y. Wang, and Y. Wang. 2015. “Exploring the influential factors in incident clearance time: Disentangling causation from self-selection bias.” Accid. Anal. Prev. 85 (Dec): 58–65. https://doi.org/10.1016/j.aap.2015.08.024.
Dougald, L. E., and M. J. Demetsky. 2008. “Assessing return on investment of freeway safety service patrol programs.” Transp. Res. Rec. 2047 (1): 19–27. https://doi.org/10.3141/2047-03.
FDOT (Florida Dept. of Transportation). 2016. “Statewide road ranger survey for incident responders.” Accessed November 23, 2018. http://www.swfltim.org/Docs/Survey/2016%20Statewide%20Road%20Ranger%20Survey.pdf.
Ghosh, I., P. T. Savolainen, and T. J. Gates. 2012. “Examination of factors affecting freeway incident clearance times: A comparison of the generalized F model and several alternative nested models.” J. Adv. Transp. 48 (2014): 471–485. https://doi.org/https://doi.org/10.1002/atr.
Guin, A., C. Porter, B. Smith, and C. Holmes. 2007. “Benefits analysis for incident management program integrated with intelligent transportation systems operations: Case study.” Trans. Res. Rec. 2000 (1): 78–87. https://doi.org/10.3141/2000-10.
Hagen, L., H. Zhou, and H. Singh. 2005. “Road ranger benefit cost analysis.” Accessed November 23, 2018. https://ftp.fdot.gov/file/d/FTP/FDOT%20LTS/CO/research/Completed_Proj/Summary_TE/FDOT_BD544_14_rpt.pdf.
Haule, H. J., T. Sando, R. Lentz, C. Chuan, and P. Alluri. 2018. “Evaluating the impact and clearance duration of freeway incidents.” Int. J. Transp. Sci. Technol. 8 (1): 13–24. https://doi.org/10.1016/j.ijtst.2018.06.005.
Hojati, T. A., L. Ferreira, S. Washington, and P. Charles. 2013. “Hazard based models for freeway traffic incident duration.” Accid. Anal. Prev. 52 (Mar): 171–181. https://doi.org/10.1016/j.aap.2012.12.037.
Jeihani, M., P. James, A. A. Saka, and A. Ardeshiri. 2015. “Traffic recovery time estimation under different flow regimes in traffic simulation.” J. Traffic Transp. Eng. 2 (5): 291–300. https://doi.org/10.1016/j.jtte.2015.08.001.
Junhua, W., C. Haozhe, and Q. Shi. 2013. “Estimating freeway incident duration using accelerated failure time modeling.” Saf. Sci. 54 (Apr): 43–50. https://doi.org/10.1016/j.ssci.2012.11.009.
Karlaftis, M. G., S. P. Latoski, N. J. Richards, and K. C. Sinha. 1999. “ITS impacts on safety and traffic management : An investigation of secondary crash causes.” J. Intell. Transp. Syst. 5 (1): 39–52. https://doi.org/10.1080/10248079908903756.
Khattak, A. J., J. Liu, B. Wali, X. Li, and M. Ng. 2016. “Modeling traffic incident duration using quantile regression.” Transp. Res. Rec. 2554 (1): 139–148. https://doi.org/10.3141/2554-15.
Khattak, A. J., J. L. Schofer, and M.-H. Wang. 1995. “A simple time sequential procedure for predicting freeway incident duration.” I V H S J. 2 (2): 113–138. https://doi.org/10.1080/10248079508903820.
Khattak, A. J., X. Wang, and H. Zhang. 2009. “Are incident durations and secondary incidents interdependent?” Transp. Res. Rec. 2099 (1): 39–49. https://doi.org/10.3141/2099-05.
Khattak, A. J., X. Wang, and H. Zhang. 2012. “Incident management integration tool: Dynamically predicting incident durations, secondary incident occurrence and incident delays” IET Intell. Transp. Syst. 6 (2): 204. https://doi.org/10.1049/iet-its.2011.0013.
Koenker, R. 2005. Quantile regression. New York: Cambridge University Press. .https://doi.org/10.1017/CBO9780511754098.
Lee, J. T., and J. Fazio. 2005. “Influential factors in freeway crash response and clearance times by emergency management services in peak periods.” Traffic Inj. Prev. 6 (4): 331–339. https://doi.org/10.1080/15389580500255773.
Li, R., and P. Shang. 2014. “Incident duration modeling using flexible parametric hazard-based models.” Comput. Intell. Neurosci. 2014 (1): 7–9. https://doi.org/10.1155/2014/723427.
Li, X., A. J. Khattak, and B. Wali. 2017. “Large-scale traffic incident duration analysis: The role of multi-agency response and on-scene times.” In Proc., 96th Annual Meeting of the Transportation Research Board. Washington, DC: Transportation Research Board.
Lin, P.-S., A. Fabregas, and H. Chen. 2012. “Cost benefit analysis of freeway service patrol programs: A case study in Florida.” In Proc., Sustainable Transportation Systems: Plan, Design, Build, Manage, and Maintain, edited by Y. Bai, W.-S. V. Ping, D. Shen, and X. Chen, 1–8. Reston, VA: ASCE. https://doi.org/10.1061/9780784412299.0001.
Ma, Y., M. Chowdhury, R. Fries, and K. Ozbay. 2009. “Harnessing the power of microscopic simulation to evaluate freeway service patrols.” J. Transp. Eng. 135 (7): 427–439. https://doi.org/10.1061/(ASCE)0733-947X(2009)135:7(427).
Schrank, D., B. Eisele, T. Lomax, and J. Bak. 2015. “2015 urban mobility scorecard.” Accessed November 23, 2018. https://static.tti.tamu.edu/tti.tamu.edu/documents/umr/archive/mobility-scorecard-2015.pdf.
Shi, L., Y. Cheng, J. Jin, B. Ran, and X. Chen. 2011. “Effects of rainfall and environmental factors on traffic flow characteristics on urban freeway (No. 11-3345).” In Proc., Transportation Research Board 90th Annual Meeting. Washington, DC: Transportation Research Board. https://trid.trb.org/view/1092981.
Sun, X., M. Shahabi, G. Carrick, Y. Yin, S. Srinivasan, and N. Shirmohammadi. 2018. “Methods for design of safety service patrol beats: The Florida Road Ranger case study.” Transp. Res. Rec. 2672 (14): 50–60. https://doi.org/10.1177/0361198118788183.
Sun, Z., Y. Yuan, W. Hao, and A. Haghani. 2017. “Evaluation of the benefit-to-cost of freeway service patrol in advanced video surveillance system environment: A case study in China.” Transp. Res. Procedia 25 (Jan): 5255–5265. https://doi.org/10.1016/j.trpro.2018.02.052.
Washington, S. P., M. G. Karlaftis, and F. L. Mannering. 2011. Statistical and econometric methods for transportation data analysis. 2nd ed. Boca Raton, FL: CRC Press.
Yin, Y. 2006. “Optimal fleet allocation of freeway service patrols.” Networks Spatial Econ. 6 (3–4): 221–234. https://doi.org/10.1007/s11067-006-9281-z.
Zhang, H., and A. Khattak. 2010. “Analysis of cascading incident event durations on urban freeways.” Transp. Res. Rec. 2178 (1): 30–39. https://doi.org/10.3141/2178-04.

Information & Authors

Information

Published In

Go to Journal of Transportation Engineering, Part A: Systems
Journal of Transportation Engineering, Part A: Systems
Volume 146Issue 9September 2020

History

Received: Aug 14, 2019
Accepted: Apr 7, 2020
Published online: Jul 2, 2020
Published in print: Sep 1, 2020
Discussion open until: Dec 2, 2020

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Authors

Affiliations

Graduate Research Assistant, School of Engineering, Univ. of North Florida, 1 UNF Dr., Jacksonville, FL 32224 (corresponding author). ORCID: https://orcid.org/0000-0002-8865-4054. Email: [email protected]
Thobias Sando, Ph.D., M.ASCE [email protected]
P.E.
Professor, School of Engineering, Univ. of North Florida, 1 UNF Dr., Jacksonville, FL 32224. Email: [email protected]
Priyanka Alluri, Ph.D., M.ASCE [email protected]
P.E.
Assistant Professor, Dept of Civil and Environmental Engineering, Florida International Univ., 10555 West Flagler St., EC 3628, Miami, FL 33174. Email: [email protected]
Angela Kitali, S.M.ASCE [email protected]
Graduate Research Assistant, Dept of Civil and Environmental Engineering, Florida International Univ., 10555 West Flagler St., EC 3628, Miami, FL 33174. Email: [email protected]

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