Calibration of distributions of commercial motor vehicles in CORSIM

Transportation Research Record

Volumn , Issue 1934, 2005, Pages 246-255

  Schultz, Grant G ^a   Rilett, Laurence R ^b  

^a Department of Electrical and Computer Engineering   (United States)

^b UNIVERSITY OF NEBRASKA LINCOLN   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER SIMULATION; DATA ACQUISITION; GENETIC ALGORITHMS; INTELLIGENT NETWORKS; MATHEMATICAL MODELS; MOTOR TRANSPORTATION;

COMMERCIAL MOTOR VEHICLES; INTELLIGENT TRANSPORTATION SYSTEM; TRAFFIC SIMULATION MODELS;

GROUND VEHICLES;

EID: 33645769485     PISSN: 03611981     EISSN: None     Source Type: Journal    
DOI: 10.3141/1934-26     Document Type: Article

References (23)

1. Kim, K., and L. R. Rilett. Genetic-Algorithm-Based Approach for Calibrating Microscopic Simulation Models. Proc., 2001 IEEE Intelligent Transportation Systems Conference, IEEE, Oakland, Calif., 2001, pp. 698-704.
2. Kim, K. Optimization Methodology for the Calibration of Transportation Network Micro-Simulation Models. Ph.D. dissertation. Texas A&M University, College Station, 2002.
3. Kim, K.-O., and L. R. Rilett. Genetic Algorithm-Based Approach to Traffic Microsimulation Calibration Using ITS Data. Presented at 83rd Annual Meeting of the Transportation Research Board, Washington, D.C., 2004.
4. Schultz, G. G. Developing a Methodology to Account for Commercial Motor Vehicles Using Microscopic Traffic Simulation Models. Ph.D. dissertation. Texas A&M University System, College Station, 2003.
5. CORSIM User's Guide (Software Help Menu). FHWA, U.S. Department of Transportation, Washington, D.C., 2001.
6. Wicks, D. A., and E. B. Lieberman. Development and Testing of INTRAS, a Microscopic Freeway Simulation Model, Vol. 1. Program Design, Parameter Calibration and Freeway Dynamics Component Development. Report FHWA/RD-80/106. FHWA, U.S. Department of Transportation, Washington, D.C., 1980.
7. Halati, A., H. Lieu, and S. Walker. CORSIM-Corridor Traffic Simulation Model. In Traffic Congestion and Traffic Safety in the 21st Cen tury: Challenges, Innovations, and Opportunities, ASCE, Chicago, 111., 1997, pp. 570-576.
8. Schultz, G. G., and L. R. Rilett. Analysis of the Distribution and Calibration of Car-Following Sensitivity Parameters in Microscopic Traffic Simulation Models. In Transportation Research Record: Journal of the Transportation Research Board, No. 1876, Transportation Research Board of the National Academies, Washington, D.C., 2004, pp. 41-51.
9. Highway Capacity Manual. HRB, National Research Council, and Bureau of Public Roads, U.S. Department of Commerce, Washington, D.C., 1950.
10. Olson, P. L., D. E. Cleveland, P. S. Fancher, L. P. Kostyniuk, and L. W. Schneider. NCHRP Report 270: Parameters Affecting Stopping Sight Distance. TRB, National Research Council, Washington, D.C., 1984.
11. A Policy on Geometric Design of Highways and Streets. AASHTO, Washington, D.C., 2001.
12. Harwood, D. W., J. M. Mason, W. D. Glauz, B. T. Kulakowski, and K. Fitzpatrick. Truck Characteristics for Use in Highway Design and Operation, Vol. 1. Research Report. Report FHWA-RD-89-226. Midwest Research Institute, Kansas City, Mo., 1990.
13. Fambro, D. B., K. Fitzpatrick, and R. J. Koppa. NCHRP Report 400: Determination of Stopping Sight Distances. TRB, National Research Council, Washington, D.C., 1997.
14. St. John, A. D., and D. R. Kobett. NCHRP Report 185: Grade Effects on Traffic Flow Stability and Capacity. TRB, National Research Council, Washington, D.C., 1978.
15. Schultz, G. G., L. R. Rilett, and C. H. Spiegelman. The Use of Weigh-in Motion Data to Develop Commercial Motor Vehicle Weight and Length Distributions at Vehicle Classification Sites. Presented at 84th Annual Meeting of the Transportation Research Board, Washington, D.C., 2005.
16. Traffic Monitoring Guide. Office of Highway Policy Information, FHWA, U.S. Department of Transportation, 2001.
17. Montgomery, D. C., and G. C. Runger. Applied Statistics and Probability for Engineers, 2nd ed. John Wiley and Sons, Inc., New York, 1999.
18. Dixon, M. P. Incorporation of Automatic Vehicle Identification Data into the Synthetic OD Estimation Process. Ph.D. dissertation. Texas A&M University System, College Station, 2000.
19. Dixon, M. P., and L. R. Rilett. Real-Time Origin-Destination Estimation Using Automatic Vehicle Identification Data. Presented at 79th Annual Meeting of the Transportation Research Board, Washington, D.C., 2000.
20. Goldberg, D. E. Genetic Algorithms in Search, Optimization, and Machine Learning. Addison-Wesley Publishing Company, Inc., Reading, Mass., 1989.
21. Chambers, L. Practical Handbook of Genetic Algorithms: Applications, Vol. I. CRC Press, Inc., Boca Raton, Fla., 1995.
22. Toledo, T., and H. N. Koutsopoulos. Statistical Validation of Traffic Simulation Models. In Transportation Research Record: Journal of the Transportation Research Board, No. 1876, Transportation Research Board of the National Academies, Washington, D.C., 2004, pp. 142-150.
23. Dowling, R., A. Skabardonis, J. Halkias, G. McHale, and G. Zammit. Guidelines for Calibration of Microsimulation Models: Framework and Applications. In Transportation Research Record: Journal of the Transportation Research Board, No. 1876, Transportation Research Board of the National Academies, Washington, D.C., 2004, pp. 1-9.