Comparison of simulation-based and model-based calibrations of traffic-flow microsimulation models

Transportation Research Record

Volumn , Issue 2088, 2008, Pages 36-44

  Ciuffo, Biagio ^a   Punzo, Vincenzo ^a   Torrieri, Vincenzo ^a  

^a UNIVERSITY OF NAPLES FEDERICO II   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

CALIBRATION; HEURISTIC METHODS; INFORMATION USE; INTELLIGENT SYSTEMS; OPTIMIZATION; PARAMETER ESTIMATION; TRAFFIC CONTROL;

MICROSIMULATION MODELING; MODEL-BASED CALIBRATION; OBJECTIVE FUNCTIONS; OPTIMISATIONS; OPTIMIZATION PROBLEMS; PARAMETERS CALIBRATIONS; RUNNING TIME; SIMULATION-BASED OPTIMIZATIONS; TRAFFIC FLOW; TRAFFIC MICROSIMULATION MODELS;

FUNCTION EVALUATION;

EID: 63849140242     PISSN: 03611981     EISSN: None     Source Type: Journal    
DOI: 10.3141/2088-05     Document Type: Article

References (20)

1. Vavasis, S. A. Nonlinear Optimization: Complexity Issues. Oxford University Press, New York, 1991.
2. Traub, J. F., and A. G. Werschulz. Information-Based Complexity and Information-Based Optimization. In Encyclopedia of Optimization, Vol. 2 (C. A. Floudas and P. M. Pardalos, eds.), Kluwer Academic Publishers, Dordrecht, Netherlands, 2001, pp. 485-489.
3. Ma, T., and B. Abdulhai. Genetic Algorithm-Based Optimization Approach and Generic Tool for Calibrating Traffic Microscopic Simulation Parameters. In Transportation Research Record: Journal of the Transportation Research Board, No. 1800, Transportation Research Board of the National Academies, Washington, D.C., 2002, pp. 6-15.
4. Kim, S.-J., W. Kim, and L. R. Rilett. Calibration of Microsimulation Models Using Nonparametric Statistical Techniques. In Transportation Research Record: Journal of the Transportation Research Board, No. 1935, Transportation Research Board of the National Academies, Washington, D.C., 2005, pp. 111-119.
5. Park, B., and H. Qi. Development and Evaluation of a Procedure for the Calibration of Simulation Models. In Transportation Research Record: Journal of the Transportation Research Board, No. 1934, Transportation Research Board of the National Academies, Washington, D.C., 2005, pp. 208-217.
6. Toledo, T., M. E. Ben-Akiva, D. Darda, M. Jha, and H. N. Koutsopoulos. Calibration of Microscopic Traffic Simulation Models with Aggregate Data. In Transportation Research Record: Journal of the Transportation Research Board, No. 1876, Transportation Research Board of the National Academies, Washington, D.C., 2004, pp. 10-19.
7. Hourdakis, J., P. G. Michalopoulos, and J. Kottommannil. Practical Procedure for Calibrating Microscopic Traffic Simulation Models. In Transportation Research Record: Journal of the Transportation Research Board, No. 1852, Transportation Research Board of the National Academies, Washington, D.C., 2003, pp. 130-139.
8. Balakrishna, R., C. Antoniou, M. E. Ben-Akiva, H. N. Koutsopoulos, and Y. Wen. Calibration of Microscopic Traffic Simulation Models: Methods and Application. In Transportation Research Record: Journal of the Transportation Research Board, No. 1999, Transportation Research Board of the National Academies, Washington, D.C., 2007, pp. 198-207.
9. Ma, J., H. Dong, and H. M. Zhang. Calibration of Microsimulation with Heuristic Optimization Methods. In Transportation Research Record: Journal of the Transportation Research Board, No. 1999, Transportation Research Board of the National Academies, Washington, D.C., 2007, pp. 208-217.
10. Ugray, Z., L. Lasdon, J. Plummer, F. Glover, J. Kelly, and R. Marti. A Multistart Scatter Search Heuristic for Smooth NLP and MINLP Problems. INFORMS Journal of Computing, July 25, 2002.
11. Glover, F. A Template for Scatter Search and Path Relinking. In Lecture Notes in Computer Science 1363: Artificial Evolution (J.-K. Hao, E. Lutton, E. Ronald, M. Schoenauer, and D. Snyers, eds.), Springer-Verlag, Berlin, 1998, pp. 13-54.
12. Smith, S., and L. Lasdon. Solving Large Sparse Nonlinear Programs Using GRG. ORSA Journal on Computing, Vol. 4, No. 1, 1992, pp. 3-15.
13. Drud, A. S. CONOPT: A Large-Scale GRG Code. ORSA Journal of Computing, Vol. 6, No. 2, 1994, pp. 207-216.
14. Schultz, G. G., and L. R. Rilett. Calibration of Distributions of Commercial Motor Vehicles in CORSIM. In Transportation Research Record: Journal of the Transportation Research Board, No. 1934, Transportation Research Board of the National Academies, Washington, D.C., 2005, pp. 246-255.
15. Punzo, V., and A. Tripodi. Steady-State Solutions and Multiclass Calibration of Gipps Microscopic Traffic Flow Model. In Transportation Research Record: Journal of the Transportation Research Board, No. 1999, Transportation Research Board of the National Academies, Washington, D.C., 2007, pp. 104-114.
16. Kurian, M. Calibration of a Microscopic Traffic Simulator. MS thesis. Massachusetts Institute of Technology, Cambridge, 2001.
17. Ciuffo, B. F., V. Punzo, and V. Torrieri. A Framework for the Calibration of a Microscopic Traffic Flow Model. Presented at 86th Annual Meeting of the Transportation Research Board, Washington, D.C., 2007.
18. Locatelli, M., and F. Schoen. Random Linkage: A Family of Acceptance/Rejection Algorithms for Global Optimization. Mathematical Programming, Vol. 85, No. 2, 1999, pp. 379-396.
19. AIMSUN 5.1 Microsimulator User's Manual. Transport Simulation Systems, Barcelona, Spain, 2006.
20. Levison, W. H. Interactive Highway Safety Design Model: Issues Related to Driver Modeling. In Transportation Research Record 1631, TRB, National Research Council, Washington, D.C., 1998, pp. 20-27.