Sage Journals: Discover world-class research

Abstract

To reduce the negative impacts of highway maintenance on traffic, lane-closure schedules, work-zone configurations, and traffic-control strategies should be carefully planned. In this article, optimization techniques are applied to determine the appropriate work-zone plans which can minimize the total costs including agency costs, road-user delay costs and accident costs, subject to working time constraints. A heuristic optimization algorithm, named two-stage modified simulated annealing (2SA), is developed to search for an optimized solution with a hybrid objective function evaluation approach (H2SA). After the decision variables are preoptimized analytically in the first stage, refined optimization is performed based on microscopic simulation models in the second stage. The results of a numerical experiment demonstrate that the H2SA can yield satisfactory solutions, which are close to the best optimization solutions based on simulation (S2SA) but obtained with much less computation time.

Keywords

highway maintenance simulation optimization traffic management

Get full access to this article

View all access options for this article.

References

Chen, C.H. , & Schonfeld, P. (2005). Work zone lengths for a four-lane road with an alternate route. Journal of Transportation Engineering, ASCE , 131, 780-789.

Chen, C.H. , & Schonfeld, P. (2006). Work zone optimization for multiple-lane highway resurfacing projects with time constraints and an alternate route. The 85th Annual Transportation Research Board Meeting (06-1812 on CD-ROM), Transportation Research Board, Washington, DC.

Chen, C.H. , Schonfeld, P. , & Paracha, J. (2005). Work zone optimization for two-lane highway resurfaciug projects with an alternate route. The 84th Annual Transportation Research Board Meeting (05-0561 on CD-ROM), Transportation Research Board, Washington, DC.

Cheu, R.L. , Wang, Y. , & Fwa, T.F. (2004). Genetic algorithm-simulation methodology for pavement maintenance scheduling. Computer-Aided Civil and Infrastructure Engineering, 19, 446-455.

Chien, S. , Goulias, D.G. , Yahalom, S. , & Chowdhury, S.M. (2002). Simulation-based estimates of delay at freeway work zones. Journal of Advanced Transportation , 36, 131-156.

Chien, S. , & Schonfeld, P. (2001). Optimal work zone lengths for four-lane highways . Journal of Transportation Engineering, ASCE, 127(2), 124-131.

Chien, S. , Tang, Y. , & Schonfeld, P. (2002). Optimizing work zones for two-lane highway maintenance projects. Journal of Transportation Engineering, ASCE, 128, 145-155.

Chitturi, M.V. , & Benekohal, R.F. (2003). Comparison of QUEWZ, FRESIM and QuickZone with field data for work zones. In Transportation Research Board the 82th Annual Meeting (CD-ROM), Transportation Research Board, Washington, DC.

Fu, M.C. (2002). Feature article: Optimization for simulation: Theory vs. practice. INFORMS Journal on Computing, 14, 192-215.

10.

Jiang, X. , & Adeli, H. (2003). Freeway work zone traffic delay and cost optimization model. Journal of Transportation Engineering, ASCE, 129, 230-241.

11.

Kang, K.P. , Chang, G.L. , & Zhou, N. (2004). An optimal dynamic speed limit control for highway work-zone operations. In Transportation Research Board the 83th Annual Meeting (CD-ROM), Transportation Research Board, Washington, DC.

12.

Kirkpatrick, S. , Gelatt, C.D. , Vecchi, M.P. (1983). Optimization by simulated annealing. Science, 220, 671-680.

13.

Lee, E.B. , Kim, C. , & Harvey, J.T. (2005). Application of macro-and microscopic simulations for the traffic planning of urban highway reconstruction. In Transportation Research Board the 84th Annual Meeting (CD-ROM) , Transportation Research Board, Washington, DC.

14.

McCoy, P.T. , & Mennenga, D.J. (1998). Optimum length of single-lane closures in work zones on rural four-lane freeways (Transp. Res. Rec. 1650, pp. 55-61). Washington, DC : Transportation Research Board.

15.

Rouphail, N.M. , Yang, Z.S. , & Fazio, J. (1988). Comparative study of short- and long-term urban freeway work zones (Transp. Res. Rec. 1163, pp. 4-14). Washington, DC: Transportation Research Board.

16.

Schonfeld, P. , Yang, N. , & Tien, S. (2006, September). Optimization of work zone decision through simulation (Rep. No. MD-06-SP508B4C). Hanover, MD: Maryland State Highway Administration.

17.

Steven, D.S. , & Maze, T.H. (2000, May 15-16). Evaluation of rural interstate work zone traffic management plans in Iowa using simulation. Paper presented at the proceedings of the Mid-Continent Transportation Symposium , Iowa State University, Ames. Retrieved July 28, 2008, from http://ntlsearch.bts.gov/tris/search.do?new=&b1=9&f1=ca&t1=Iowa+State+University%2C+Ames&d=tr

18.

Tien, S.L. , & Schonfeld, P. (2006). Duration versus cost tradeoffs in work zone optimization . The 85th Annual Transportation Research Board Meeting (06-1789 on CD-ROM), Transportation Research Board , Washington, DC.

19.

U.S. Department of Transportation, Federal Highway Administration. (2003). TSIS 5.1 User's Guide. Washington, DC: Author.

A Hybrid Methodology for Freeway Work-Zone Optimization With Time Constraints

Abstract

Keywords

Get full access to this article

References