Optimization Model to Determine Critical Budgets for Managing Pavement and Safety: Case Study on Statewide County Roads
Publication: Journal of Transportation Engineering, Part A: Systems
Volume 145, Issue 2
Abstract
This study develops a model that combines pavement and safety management system to utilize the resources more efficiently. Sometimes decision makers and road engineers need to estimate critical budgets to maintain and improve safety on roads most efficiently. The critical budget can be defined as the budget below which the rate of improvement (per million dollars) is higher compared with that above the budget. This paper develops optimization models to determine critical budgets for maintaining pavements and improving safety. The developed methodology is used to conduct a sensitivity analysis using an optimization technique (genetic algorithm) to determine the critical budget. Two critical budgets are determined from two models: pavement and safety. The primary factors in the model include pavement serviceability index, traffic volume, cost factor, roadway inventory, crash data, crash modification factor, and safety improvement countermeasures. The developed methodology uses linear integer programming to identify the list of preservation projects that provides the greatest benefit to society. The findings will help lawmakers to make funding decisions to preserve roadway networks.
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References
AASHTO. 2010. The highway safety manual. Washington, DC: AASHTO.
Anderson, M., and J. Wilson. 2005. A pavement management system for county roads. Huntsville, AL: Transportation Center for Alabama.
City of Milton. 2009. “Pavement management evaluation and recommendation.” Accessed October 10, 2014. https://www.cityofmiltonga.us/vertical/Sites/%7BABDC6828-BCD1-4EB9-8063-A52F3C899020%7D/uploads/%7BB03B7881-A9A0-419F-89C5-86833466698E%7D.PDF.
CDOT (Colorado Department of Transportation). 2013. “CDOT’s risk-based asset management plan.” Accessed June 17, 2014. http://www.tamptemplate.org/wp-content/uploads/tamps/022_coloradodot.pdf.
Cheng, W., and S. Washington. 2008. “New criteria for evaluating methods of identifying hot spots.” Transp. Res. Rec. 2083 (1): 76–85. https://doi.org/10.3141/2083-09.
Elvik, R. 2008. “Comparative analysis of techniques for identifying hazardous road locations.” Transp. Res. Rec. 2083 (1): 72–75. https://doi.org/10.3141/2083-08.
FHWA (Federal Highway Administration). 2012. “Flexibility in highway design.” Chap. 3 in Functional classification. Washington, DC: FHWA.
FHWA (Federal Highway Administration). 2018. “FHWA FY 2017 budget.” Accessed February 12, 2018. https://cms.dot.gov/sites/dot.gov/files/docs/fhwa_fy2017_budget.pdf.
GDOT (Georgia DOT). 2013. “Georgia DOT’s asset management plan.” Accessed June 17, 2014. http://www.dot.ga.gov/BuildSmart/Programs/Documents/AssetMgmt/TAMPlan.pdf.
Huntington, G., A. Pearce, N. Stroud, J. Jones, and K. Ksaibati. 2013. Mitigating impacts of oil and gas traffic on southeastern wyoming county roads. Cheyenne, WY: WYDOT.
Mishra, S., M. M. Golias, S. Sharma, and S. D. Boyles. 2015. “Optimal funding allocation strategies for safety improvements on urban intersections.” Transp. Res. Part A 75: 113–133. https://doi.org/10.1016/j.tra.2015.03.001.
Persuad, B., C. Lyon, and T. Nguyen. 1999. “Empirical Bayes procedure for ranking sites for safety investigation by potential for improvement.” Transp. Res. Rec. 1665 (1): 7–12. https://doi.org/10.3141/1665-02.
Saha, P., and K. Ksaibati. 2016a. “A risk-based optimization methodology for pavement management system of county roads.” Int. J. Pavement Eng. 17 (10): 913–923. https://doi.org/10.1080/10298436.2015.1065992.
Saha, P., and K. Ksaibati. 2016b. “An optimization model for improving highway safety.” J. Traffic Transp. Eng. 3 (6): 549–558. https://doi.org/10.1016/j.jtte.2016.01.004.
Saha, P., R. Liu, C. Melson, and S. Boyles. 2014. “Network model for rural roadway tolling with pavement deterioration and repair.” Comput.-Aided Civ. Infrastruct. Eng. 29 (5): 315–329. https://doi.org/10.1111/mice.12057.
White, G. 2012. WSDOT pavement preservation guide for local agencies. Olympia, WA: Washington State Dept. of Transportation.
Wolters, A., K. Zimmerman, K. Schattler, and A. Rietgraf. 2011. Implementing pavement management sysems for local agencies. Rantoul, IL: Illinois Center for Transportation.
WYDOT (Wyoming Department of Transportation). 2008. WYDOT and general fund appropriations for highways. Cheyenne, WY: WYDOT.
WYDOT (Wyoming Department of Transportation). 2014. “Transportation asset management plan.” Accessed June 17, 2014. http://www.tamptemplate.org/wp-content/uploads/tamps/021_wyomingdot.pdf.
WYDOT (Wyoming Department of Transportation). 2015a. “Fiscal year 2015 budget presentation.” Accessed September 15, 2015. https://www.wyoleg.gov/budget/2015databook.pdf.
WYDOT (Wyoming Department of Transportation). 2015b. Statewide conditions of county paved roads in Wyoming. Cheyenne, WY: WYDOT.
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©2018 American Society of Civil Engineers.
History
Received: Feb 13, 2018
Accepted: Aug 17, 2018
Published online: Dec 7, 2018
Published in print: Feb 1, 2019
Discussion open until: May 7, 2019
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