Case Studies
Feb 8, 2016

Optimal Trade-Offs between Construction Cost and Traffic Delay for Highway Work Zones

Publication: Journal of Construction Engineering and Management
Volume 142, Issue 7

Abstract

Highway work zones often cause traffic congestion, resulting in increased road-user delays and vehicle emissions. These negative impacts of highway work zones can be minimized by a number of mitigating measures such as reducing the length of work zone segments, using the shoulder temporarily for traffic, and working during low-traffic nighttime hours. These work zone layout measures, however, cause an increase in highway construction cost. Accordingly, these tradeoffs between reducing work zone delays and minimizing construction cost need to be analyzed to establish an optimal balance between these two critical and conflicting objectives. This paper presents the development of a novel multiobjective optimization model for highway work zone layouts that is capable of generating optimal tradeoffs between minimizing traffic delays and construction cost. The model was developed in three main phases: formulation, implementation, and performance evaluation. First, the model was formulated to (1) identify all relevant work zone decision variables that affect mobility and cost, (2) model the two objective functions of minimizing work zone delay and construction cost, and (3) represent all practical constraints. Second, the model was implemented using a genetic algorithm to perform the multiobjective optimization computations and enable generating optimal tradeoffs among the two objectives in a single run. Third, the performance of the model was evaluated using an application example of a highway work zone. The results of the performance evaluation phase illustrate the novel and unique capabilities of the model in optimizing work zone layout parameters and generating optimal tradeoffs between minimizing traffic delays and construction cost.

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Acknowledgments

This material is based on a work supported by the Illinois Department of Transportation (IDOT), research funded under Project No. R-27-109. Any opinions, findings, and conclusions or recommendations expressed in this publication are those of the authors and do not necessarily reflect the views of the Illinois Department of Transportation.

References

Benekohal, R. F., Kaca-Mohideen, A-Z., and Chitturi, M. V. (2003). “Evaluation of construction work zone operational issues: Capacity, queue, and delay.” Illinois Dept. of Transportation, Univ. of Illinois at Urbana Champaign, Urbana, IL.
Benekohal, R. F., Ramezani, H., and Avrenli, K. A. (2010). “Queue and user’s costs in highway work zones.”, Illinois Dept. of Transportation, Univ. of Illinois at Urbana Champaign, Urbana, IL.
Borchardt, D. W., Pesti, G., Sun, D., and Ding, L. (2009). “Capacity and road user cost analysis of selected freeway work zones in Texas.”, Texas Transportation Institute, Austin, TX.
Boyles, S., and Waller, S. T. (2007). “A stochastic delay prediction model for real-time incident management.” ITE J., 77(11), 18–24.
Chien, S., and Schonfeld, P. (2001). “Optimal work zone lengths for four-lane highways.” J. Trans. Eng., 124–131.
Chien, S., Tang, Y., and Schonfeld, P., (2002). “Optimizing work zones for two-lane highway maintenance projects.” J. Trans. Eng., 145–155.
Deb, K., Agrawal, S., Pratap, A., and Meyarivan, T. (2000). “A fast elitist non-dominated sorting genetic algorithm for multi-objective optimization: NSGA-II.” Proc., 6th Int. Conf. on Parallel Problem Solving from Nature, 849–858.
Du, B., and Chien, S. (2014). “Feasibility of shoulder use for highway work zone optimization.” J. Traffic Trans. Eng., 1(4), 235–246.
El-Anwar, O., El-Rayes, K., and Elnashai, A. (2008). “Multi-objective optimization of temporary housing for the 1994 Northridge earthquake.” J. Earthquake Eng., 12(sup2), 81–91.
Elefteriadou, L., Arguea, D., and Kondyli, A. (2007). “Impacts of trucks on arterials LOS and freeway work zone capacity (part B).”, Florida Dept. of Transportation, Tallahassee, FL.
Elghamraway, T. M. (2011). “Optimizing work zone practices for highway construction projects.” Ph.D. thesis, Univ. of Illinois at Urbana-Champaign, Champaign, IL.
El-Rayes, K., and Hyari, K. (2005). “Optimal lighting arrangements for nighttime highway construction projects.” J. Constr. Eng. Manage., 1292–1300.
El-Rayes, K., and Kandil, A. (2005). “Time-cost-quality trade-off analysis for highway construction.” J. Constr. Eng. Manage., 477–486.
El-Rayes, K., Liu, L., El-Gohary, N., and Abdelmohsen, A. (2014). “Effect of flaggers and spotters in directing work zone traffic for Illinois expressways and freeways.”, Illinois Dept. of Transportation, Univ. of Illinois at Urbana Champaign, Urbana, IL.
FHWA (Federal Highway Administration). (2012). “Guidelines on work zone access and egress.” 〈http://www.workzonesafety.org/files/documents/training/courses_programs/rsa_program/RSP_Guidance_Documents_Download/RSP_Access_Egress_Download.pdf〉 (Mar. 1, 2015).
FHWA (Federal Highway Administration). (2014). “Work zone safety: Facts and statistics-work zone delay.” 〈http://www.ops.fhwa.dot.gov/wz/resources/facts_stats/delay.htm〉 (Mar. 1, 2015).
Heon Jun, D., and El-Rayes, K. (2011). “Multiobjective optimization of resource leveling and allocation during construction scheduling.” J. Constr. Eng. Manage., 1080–1088.
Hyari, K., and El-Rayes, K. (2006). “Optimal planning and scheduling for repetitive construction projects.” J. Manage. Eng., 11–19.
Jiang, X., and Adeli, H. (2003). “Freeway work zone traffic delay and cost optimization model.” J. Trans. Eng., 230–241.
Kandil, A., and El-Rayes, K. (2006a). “MACROS: Multiobjective automated construction resource optimization system.” J. Manage. Eng., 126–134.
Kandil, A., and El-Rayes, K. (2006b). “Parallel genetic algorithms for optimizing resource utilization in large-scale construction projects.” J. Constr. Eng. Manage., 491–498.
Kandil, A., El-Rayes, K., and El-Anwar, O. (2010). “Optimization research: Enhancing the robustness of large-scale multiobjective optimization in construction.” J. Constr. Eng. Manage., 17–25.
Khalafallah, A., and El-Rayes, K. (2006). “Optimizing airport construction site layouts to minimize wildlife hazards.” J. Manage. Eng., 176–185.
McCoy, P. T., and Mennenga, D. J. (1998). “Optimum length of single-lane closures in work zones on rural four-lane freeways.” Transp. Res. Rec., 1650, 55–61.
MDSHA (Maryland State Highway Administration). (2008). “Work zone analysis guide.” Adelphi, MD.
Memmott, J. L., and Dudek, C. L. (1984). “Queue and user cost evaluation of work zones (QUEWZ).” Transp. Res. Rec., 979, 12–19.
Meng, Q., and Weng, J. (2013a). “Effects of work zone configuration, traffic flow and heavy vehicle percentage on traffic delay at work zones.” Asia Transp. Stud., 2–3, 239–252.
Meng, Q., and Weng, J. (2013b). “Optimal subwork zone operational strategy for short-term work zone projects in four-lane two-way freeways.” J. Adv. Trans., 47(2), 151–169.
Mitretek. (2005). “QuickZone delay estimation program-user guide.” Federal Highway Administration, Mitretek Systems, Washington, DC.
MUTCD (Manual of Uniform Traffic Control Devices). (2009). Federal Highway Administration (FHWA), Washington, DC.
Oh, J. S., Kim, H., and Park, D. (2011). “Bi-objective network optimization for spatial and temporal coordination of multiple highway construction projects ion projects.” J. Civ. Eng., 15(8), 1449–1455.
Orabi, W., Senouci, A. B., El-Rayes, K., and Al-Derham, H. (2010). “Optimizing resource utilization during the recovery of civil infrastructure systems.” J. Manage. Eng., 237–246.
Said, H., and El-Rayes, K. (2011). “Optimizing material procurement and storage on construction sites.” J. Constr. Eng. Manage., 421–431.
Schrank, D., Lomax, T., and Eisele, B. (2011). “TTI’S 2011 Urban mobility report.” Texas Transportataion Institute, Texas A&M Univ. System, Austin, TX.
Senouci, A., and El-Rayes, K. (2009). “Time-profit trade-off analysis for construction projects.” J. Constr. Eng. Manage., 718–725.
Tang, Y., and Chien, S. (2008). “Scheduling work zones for highway maintenance projects: Considering a discrète time-cost relation.” Transp. Res. Rec., 2055, 21–30.
TRB (Transportation Research Board). (2010). Highway capacity manual, Washington, DC.
Yang, N., Schonfeld, P., and Kang, M. W. (2009). “A hybrid methodology for freeway work-zone optimization with time constraints.” Public Works Manage. Policy, 13(3), 253–264.
Zhu, Y., Ahmad, I., and Wang, L. (2009). “Estimating work zone road user cost for alternative contracting methods in highway construction projects.” J. Constr. Eng. Manage., 601–608.
Zitzler, E., and Thiele, L. (1999). “Multiobjective evolutionary algorithms: A comparative case study and the strength Pareto approach.” IEEE Trans. Evol. Comput., 3(4), 257–271.

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Published In

Go to Journal of Construction Engineering and Management
Journal of Construction Engineering and Management
Volume 142Issue 7July 2016

History

Received: May 7, 2015
Accepted: Nov 25, 2015
Published online: Feb 8, 2016
Published in print: Jul 1, 2016
Discussion open until: Jul 8, 2016

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Authors

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Ahmed Z. Abdelmohsen, S.M.ASCE [email protected]
Ph.D. Candidate, Dept. of Civil and Environmental Engineering, Univ. of Illinois at Urbana-Champaign, Urbana, IL 61801. E-mail: [email protected]
Khaled El-Rayes, M.ASCE [email protected]
Professor, Dept. of Civil and Environmental Engineering, Univ. of Illinois at Urbana-Champaign, Urbana, IL 61801 (corresponding author). E-mail: [email protected]

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