Modeling Highway Performance under Various Short-Term Work Zone Configurations
Publication: Journal of Transportation Engineering, Part A: Systems
Volume 144, Issue 9
Abstract
Federal rules mandate state departments of transportation and metropolitan planning organizations to measure and report on the performance of highways within their jurisdictions. Those rules support an initiative for performance-based planning and programming. However, the federal mandates do not provide guidance on how to measure performance during performance-deteriorating events like the presence of work zones. To bridge this gap, this study proposed three performance measures representative of level of service (LOS), travel delays, and environmental impacts and demonstrated their applicability through a case study that simulated work zones under various configurations. The results of the analysis provided clear evidence that work zone length is insignificant with respect to facility performance. Additionally, the study concluded that late merge control holds great promise for implementation as an alternative to early merge control, which is currently the standard practice. The study is significant for presenting pioneer work on performance measurement and management at work zones. The study results are expected to assist agencies in developing improved performance-based measures for work zone planning and scheduling purposes.
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Acknowledgments
This work was sponsored by the United States Department of Transportation Office of the Assistant Secretary for Research and Technology (OST-R) through the Southeastern Transportation Research, Innovation, Development, and Education Center under Contract No. 105956 and in part by the Regional Planning Commission of Greater Birmingham.
References
Chien, S., Y. Tang, and P. Schonfeld. 2002. “Optimizing work zones for two-lane highway maintenance projects.” J. Transp. Eng. 128 (2): 145–155. https://doi.org/10.1061/(ASCE)0733-947X(2002)128:2(145).
Dbindsa, A., and N. C. Spiller. 2009. Traffic analysis toolbox volume X: Localized bottleneck congestion analysis: Focusing on what analysis tools are available, necessary, and productive for localized congestion remediation. Washington, DC: FHWA.
Dowling, R. 2007. Traffic analysis toolbox volume VI: Definition, interpretation, and calculation of traffic analysis tools measures of effectiveness. Washington, DC: FHWA.
Dowling, R., A. Skabardonis, and V. Alexiadis. 2004. Traffic analysis toolbox volume III: Guidelines for applying traffic microsimulation software. Washington, DC: FHWA.
FHWA (Federal Highway Administration). 2012. Manual on uniform traffic control devices (MUTCD). 2009 ed. Washington, DC: FHWA.
FHWA (Federal Highway Administration). 2017. National performance management measures; assessing performance of the national highway system, freight movement on the interstate system, and congestion mitigation and air quality improvement program. Washington, DC: FHWA.
Hardy, M., and K. E. Wunderlich. 2008. Traffic analysis toolbox volume VIII: Work zone modeling and simulation—A guide for decision-makers. Washington, DC: FHWA.
Hardy, M., and K. E. Wunderlich. 2009. Traffic analysis tools volume IX: Work zone modeling and simulation—A guide for analysts. Washington, DC: FHWA.
Holm, P., D. Tomich, J. Sloboden, and C. Lowrance. 2007. Traffic analysis toolbox volume IV: Guidelines for applying CORSIM microsimulation modeling software. Washington, DC: FHWA.
Levy, J. I., J. J. Buonocore, and K. von Stackelberg. 2010. “Evaluation of the public health impacts of traffic congestion: A health risk assessment.” Environ. Health 9 (1): 65. https://doi.org/10.1186/1476-069X-9-65.
Minnesota Department of Transportation. 2005. MnDOT method for calculating measures of effectiveness (MOE) from CORSIM model output. St. Paul, MN: Minnesota Dept. of Transportation.
Minnesota Department of Transportation. 2008. Advanced CORSIM training manual. St. Paul, MN: Minnesota Dept. of Transportation.
Minnesota Department of Transportation. 2015. “Corridor simulation modeling—Requirements and resources.” Accessed May 26, 2015. http://www.dot.state.mn.us/trafficeng/modeling/modelreq.html.
Morgado, J., and J. Neves. 2014. “Work zone planning in pavement rehabilitation: Integrating cost, duration, and user effects.” J. Constr. Eng. Manage. 140 (11): 04014050. https://doi.org/10.1061/(ASCE)CO.1943-7862.0000888.
Qu, T., P. J. Jin, C. Yu, X. Shi, and B. Ran. 2015. “Travel time reliability based highway work zone scheduling.” In Proc., Transportation Research Board 94th Annual Meeting Compendium of Papers. Washington, DC: Transportation Research Board.
Ramadan, O. E., and V. P. Sisiopiku. 2015. “Bottleneck merge control strategies for work zones: Available options and current practices.” Open J. Civ. Eng. 5 (4): 428–436. https://doi.org/10.4236/ojce.2015.54043.
Ramadan, O. E., and V. P. Sisiopiku. 2016a. “Evaluation of merge control strategies at interstate work zones under peak and off-peak traffic conditions.” J. Transp. Technol. 6 (3): 118–130. https://doi.org/10.4236/jtts.2016.63011.
Ramadan, O. E., and V. P. Sisiopiku. 2016b. “Impacts of merge control strategies on freeway capacity and level of service.” Transp. Res. Procedia 15: 583–593. https://doi.org/10.1016/j.trpro.2016.06.049.
TRB (Transportation Research Board). 2010. Highway capacity manual 2010. Washington, DC: TRB.
WHO (World Health Organization). 2005. Health effects of transport-related air pollution. Geneva: WHO.
Yang, N. 2010. “Optimization of highway work zone decisions considering short-term and long-term impacts.” Ph.D. dissertation, Dept. of Civil and Environmental Engineering, Univ. of Maryland.
Yang, N., P. Schonfeld, and M. W. Kang. 2009. “A hybrid methodology for freeway work-zone optimization with time constraints.” Public Works Manage. Policy 13 (3): 253–264. https://doi.org/10.1177/1087724X08322843.
Zhang, K., and S. Batterman. 2013. “Air pollution and health risks due to vehicle traffic.” Sci. Total Environ. 450: 307–316. https://doi.org/10.1016/j.scitotenv.2013.01.074.
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©2018 American Society of Civil Engineers.
History
Received: Sep 21, 2017
Accepted: Apr 3, 2018
Published online: Jun 28, 2018
Published in print: Sep 1, 2018
Discussion open until: Nov 28, 2018
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