What Is the Role of Multiple Secondary Incidents in Traffic Operations?
Publication: Journal of Transportation Engineering
Volume 136, Issue 11
Abstract
Traffic incidents are a major source of travel uncertainty, imposing substantial costs on the transportation system. Sometimes, an incident can result in one or more secondary incidents, which can be particularly problematic. To identify roadways where multiple secondary incidents are more likely to occur and analyze primary and secondary incidents, an innovative analysis method based on a detailed incident data set from Hampton Roads, Virginia was developed. Incidents occurring on major freeways are categorized on a three-point ordinal scale as (1) an independent incident, i.e., an incident not associated with any secondary incidents; (2) one primary-secondary pair; and (3) one primary with two or more secondary incidents in the same or opposite directions. This scale captures event adversity from a traffic management perspective, with the last category capturing multiple secondary events. To quantify associations with key factors that include incident characteristics, roadway geometry and traffic flow, ordinal regression models are estimated. The results indicate that longer duration crashes, shorter segments, and heavy traffic are associated with higher propensity for secondary incidents. Furthermore, multiple-vehicle involvement and lane blockage are associated with multiple secondary incidents. The findings provide engineers and planners with valuable information on targeting service patrols in areas that are more prone to multiple secondary incidents. Overall, this research contributes by characterizing and analyzing complex events involving secondary incidents using rigorous statistical methods.
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Acknowledgments
Special thanks are extended to the Virginia Transportation Research Council, VDOT for sponsoring the study. Transportation Research Institute at Old Dominion University provided additional financial support. The writers are very thankful to Ms. Cathy McGhee and Mr. Stephany Hanshaw of VDOT for their help and support.
References
Al-Deek, H. M., Khattak, A. J., and Thananjeyan, P. (1998). “A combined traveler behavior and system performance model with advanced traveler information systems.” Transp. Res, Part. A, 32(7), 479–493.
Edara, P., and Dougald, L. (2007). “Development of a deployment planning tool for freeway safety service patrol programs.” J. Intell. Transp. Syst., 11(4), 181–189.
Fries R., Chowdhury, M. and Ma, Y. (2007). “Accelerated incident detection and verification: A benefit to cost analysis of traffic cameras.” J. Intell. Transp. Syst., 11(4), 191–203.
Hirunyanitiwattana, W., and Mattingly, S. (2006). “Identifying secondary crash characteristics for California highway system.” (CD-ROM), Transportation Research Board, Washington, D.C.
Karlaftis, M. G., Latoski, S. P., Richards, N. J., and Sinha, K. C. (1999). “ITS impacts on safety and traffic management: An investigation of secondary crash causes.” J. Intell. Transp. Syst., 5(1), 39–52.
Khattak, A., Schofer, J., and Wang, M. (1995). “A simple procedure for predicting freeway incident duration.” IVHS Journal, 2(2), 113–138.
Khattak, A.,Wang, X. and Zhang, H. (2009). “Are incident durations and secondary incident occurrence interdependent?.” Transportation Research Record. 2099, Transportation Research Board, Washington, D.C., 39–49.
Kwon, J., Mauch, M., and Varaiya, P. (2006). “The components of congestion: Delay from incidents, special events, lane closures, weather, potential ramp metering gain, and excess demand.” Transportation Research Record. 1959, Transportation Research Board, Washington, D.C., 84–91.
Long, J. S., and Freese, J. (2006). Regression models for categorical dependent variables using stata, 2nd Ed., Stata Press, College Station, Tex.
Masinick, J. P., and Teng, H. (2004). “An analysis on the impact of rubbernecking on urban freeway traffic.” Center for Transportation Studies Rep. UVACTS-15-0-62, Univ. of Virginia, Charlottesville, Va.
Moore, J. E., Giuliano, G., and Cho, S. (2004). “Secondary accident rates on Los Angeles freeways.” J. Transp. Eng., 130(3), 280–285.
Ozbay, K., and Kachroo, P. (1999). Incident management in intelligent transportation systems, Artech House Inc., Boston.
Raub, R. A. (1997). “Secondary crashes: An important component of roadway incident management.” Transp. Q., 51(3), 93–104.
Skabardonis, A., et al. (1995). “Freeway service patrol evaluation.” California PATH Research Rep. UCB-ITS-PRR-95-5, Univ. of California, Berkeley, Calif.
Sun, C., and Chilukuri, V. (2007). “Secondary accident data fusion for assessing long-term performance of transportation systems.” Midwest Transportation Consortium Rep. MTC Project 2005-04, Iowa State Univ., Ames, Iowa.
Ullman, G. L., and Dudek, C. L. (2003). “Theoretical approach to predicting traffic queues at short-term work zones on high-volume roadways in urban areas.” Transportation Research Record. 1824, Transportation Research Board, 29–36.
Williams, R. (2006). “Generalized ordered logit/partial proportional odds models for ordinal dependent variables.” The Stata Journal, 6(1), 58–82.
Zhan, C., Shen, L., Hadi, M., and Gan, A. (2008). “Understanding the characteristic of secondary crashes on freeways.” (CD-ROM), Transportation Research Board, Washington, D.C.
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© 2010 ASCE.
History
Received: Jun 10, 2009
Accepted: Apr 20, 2010
Published online: Apr 26, 2010
Published in print: Nov 2010
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