Optimization of coordinated-actuated traffic signal system: Stochastic optimization method based on shuffled frog-leaping algorithm

Transportation Research Record

Volumn , Issue 2128, 2009, Pages 76-85

  Park, Byungkyu ^a   Lee, Joyoung ^a  

^a University of Virginia   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ADAPTIVE CONTROL SYSTEMS; CONTROLLERS; DISTRIBUTED COMPUTER SYSTEMS; OPTIMIZATION; STOCHASTIC SYSTEMS; STREET TRAFFIC CONTROL; TRAFFIC SIGNALS;

ADAPTIVE CONTROLLERS; CASE-STUDIES; OPTIMISATIONS; OPTIMIZATION SOFTWARE; SHUFFLED FROG LEAPING; SIGNALIZED INTERSECTION; STOCHASTIC OPTIMIZATION METHODS; TRAFFIC SIGNAL CONTROL SYSTEM; TRAFFIC SIGNAL OPTIMIZATIONS; TRAVEL-TIME;

TRAVEL TIME;

EID: 76149121834     PISSN: 03611981     EISSN: None     Source Type: Journal    
DOI: 10.3141/2128-08     Document Type: Article

References (25)

1. -2007 Urban Mobility Report. Texas Transportation Institute, Texas A&M University System, College Station, 2007.
2. Temporary Losses of Highway Capacity and Impacts on Performance: Phase 2. Report ORNL/TM-2004/209. Oak Ridge National Laboratory, Oak Ridge, Tenn., Nov. 2004.
3. The National Traffic Signal Report Card. Technical Report 2007. National Transportation Operations Coalition, Washington, D.C., 2007.
4. Husch, D., and J. Albeck. Trafficware SYNCHRO 6 User Guide. Trafficware, Albany, Calif., 2004.
5. Hale, D. Traffic Network Study Tool-TRANSYT-7F, United States Version. McTrans Center, University of Florida, Gainesville, Jan. 2005.
6. PASSER V. Texas Transportation Institute, Texas A&M University System, College Station, 2002.
7. Park, B., N. M. Rouphail, and J. Sacks. Assessment of Stochastic Signal Optimization Method Using Microsimulation. In Transportation Research Record: Journal of the Transportation Research Board, No.1748, TRB, National Research Council, Washington, D.C., 2001, pp. 40-45.
8. Park, B., and J. D. Schneeberger. Microscopic Simulation Model Calibration and Validation: Case Study of VISSIM Simulation Model for a Coordinated Actuated Signal System. In Transportation Research Record: Journal of the Transportation Research Board, No.1856, Trans-portation Research Board of the National Academies, Washington, D.C., 2003, pp. 185-192.
9. Park, B., and J. D. Schneeberger. Evaluation of Traffic Signal Timing Optimization Methods Using a Stochastic and Microscopic Simulation Program. Research Report UVACTS-5-0-4. University of Virginia, Charlottesville, Jan. 2003.
10. Yun, I., and B. Park. Stochastic Optimization for Coordinated Actuated Traffic Signal Systems. Presented at 88th Annual Meeting of the Transportation Research Board, Washington, D.C., 2009.
11. Stevanovic, A., P. T. Martin, and J. Stevanovic. VISSIM-Based Genetic Algorithm Optimization of Signal Timings. In Transportation Research Record: Journal of the Transportation Research Board, No.2035, Transportation Research Board of the National Academies, Washington, D.C., 2007, pp. 59-68.
12. Park, B., C. J. Messer, and T. Urbanik II. Traffic Signal Optimization Program for Oversaturated Conditions: Genetic Algorithm Approach. In Transportation Research Record: Journal of the Transportation Research Board, No.1683, TRB, National Research Council, Washington, D.C., 1999, pp. 133-142.
13. Park, B., C. J. Messer, and T. Urbanik II. Enhanced Genetic Algorithm for Signal-Timing Optimization of Oversaturated Intersections. In Transportation Research Record: Journal of the Transportation Research Board, No.1727, TRB, National Research Council, Washington, D.C., 2000, pp. 32-41.
14. CORSIM Reference Manual: Version 5.1. ITT Industries Inc., Systems Division and ATMS R&D and Systems Engineering Program Team, Colorado Springs, 2003.
15. VISSIM 4.20 User Manual. Planung Transport Verkehr, Karlsruhe, Germany, 2006.
16. Yun, I. Stochastic Optimization Method for Coordinated Actuated Signal Systems. PhD thesis. University of Virginia, Charlottesville, 2006.
17. Eusuff, M. M., and E. Lansey. Optimization of Water Distribution Network Design Using the Shuffled Frog Leaping Algorithm. Journal of Water Resources Planning and Management, ASCE, Vol.129, No.3, 2003, pp. 210-225.
18. Elbehairy, H., E. Elbeltagi, T. Hegazy, and K. Soudki. Comparison of Two Evolutionary Algorithms for Optimization of Bridge Deck Repairs. Computer-Aided Civil and Infrastructure Engineering, Vol.21, No.8, 2006, pp. 561-672.
19. Elbeltagi, E., T. Hegazy, and D. Grierson. A Modified Shuffled Frog-Leaping Optimization Algorithm: Applications to Project Management. Structure and Infrastructure Engineering, Vol.3, No.1, March 2007, pp. 53-60.
20. MATLAB and SIMULINK. MathWorks, Inc., 2006.
21. Schmidt, M., and S. Robinson. Microsoft Visual C.NET 2003: Developer's Cookbook. Sams Publishing, 2004.
22. Google Maps. www.maps.google.com.
23. McKay, M. D., R. J. Beckman, and W. J. Conover. A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code. Technometrics, Vol.21, No.2, 1979, pp. 239-245.
24. Park, B., J. Won, and I. Yun. Application of Microscopic Simulation Model Calibration and Validation Procedure: Case Study of Coordinated Actuated Signal System. In Transportation Research Record: Journal of the Transportation Research Board, No.1978, Transportation Research Board of the National Academies, Washington, D.C., 2006, pp. 113-122.
25. Park, B., and J. Won. Simulation Model Calibration and Validation: Phase II Development of Implementation Handbook and Short Course. Research Report FHWA/VTRC 07-CR5. Virginia Transportation Research Council, Charlottesville, Oct. 2006.