Calibration of FRESIM for Singapore Expressway Using Genetic Algorithm
Publication: Journal of Transportation Engineering
Volume 124, Issue 6
Abstract
FRESIM is a microscopic time-stepping simulation model for freeway corridor traffic operations. To enable FRESIM to realistically simulate expressway traffic flow in Singapore, parameters that govern the movement of vehicles needed to be recalibrated for local traffic conditions. This paper presents the application of a genetic algorithm as an optimization method for finding a suitable combination of FRESIM parameter values. The calibration is based on field data collected on weekdays over a 5.8 km segment of the Ayer Rajar Expressway. Independent calibrations have been made for evening peak and midday off-peak traffic. The results show that the genetic algorithm is able to search for two sets of parameter values that enable FRESIM to produce 30-s loop-detector volume and speed (averaged across all lanes) closely matching the field data under two different traffic conditions. The two sets of parameter values are found to produce a consistently good match for data collected in different days.
Get full access to this article
View all available purchase options and get full access to this article.
References
1.
Beightler, C. S., Philips, D. T., and Wilde, D. J. (1979). Foundations of optimization, 2nd Ed., Prentice-Hall, Inc., Englewood, N.J.
2.
Cheu, R. L., Recker, W. W., and Ritchie, S. G. (1994). “Calibration of INTRAS for simulation of 30-sec loop detector output.”Transp. Res. Rec. 1457, Transportation Research Board, Washington, D.C., 208–215.
3.
Chong, C. C. (1997). “Functional specification of OTTO vision CETrack.”Internal Rep. 8800-7000-0030-172, CET Technologies Pte. Ltd., Singapore.
4.
Chong, C. C., and Ng, Y. L. (1998). “Development of video based traffic monitoring system.”Proc., 1st Asia Pacific Conf. on Transp. and the Envir., Singapore, Vol. 1, Centre for Transportation Research, National University of Singapore, Singapore, 107–114.
5.
Chua, D. K. H., Chin, H. C., and Loong, T. H. (1995). “An alternative approach to design optimal signal settings.”Proc., 8th REAAA Conf., Road Engineers Association for Austral-Asia, Selangor, Malaysia, 365–369.
6.
Federal Highway Administration. (1995). The FRESIM user's guide. Office of Traffic Safety and Operations R&D, Federal Highway Administration, Washington, D.C.
7.
Fwa, T. F., Chan, W. T., and Tan, C. Y.(1996). “Genetic-algorithm programming of road maintenance and rehabilitation.”J. Transp. Engrg., ASCE, 112(3), 246–253.
8.
Goldberg, D. E. (1989). Genetic algorithms in search optimization and machine learning. Addison-Wesley Publishing Co., Reading, Mass.
9.
Liu, C. L, Hammond, A., and Itoh, Y.(1997). “Maintenance strategy optimization of bridge decks using genetic algorithm.”J. Transp. Engrg., ASCE, 123(2), 91–100.
10.
Michalewicz, Z. (1996). Genetic algorithm + data structures = evolution programs, 2nd Ed., Springer-Verlag, New York.
11.
Ng, K. C. (1995). “Switching control systems and their design automation via genetic algorithms,” PhD thesis, Univ. of Glasgow, Glasgow, U.K.
12.
Wicks, D. A., and Lieberman, E. B. (1980). “Development and testing of INTRAS, a microscopic freeway simulation model.” Vol. 1, Report No. FHWA/RD-80/106, Federal Highway Administration, Washington, D.C.
Information & Authors
Information
Published In
Journal of Transportation Engineering
Volume 124 • Issue 6 • November 1998
Pages: 526 - 535
Copyright
Copyright © 1998 American Society of Civil Engineers.
History
Published online: Nov 1, 1998
Published in print: Nov 1998
Authors
Metrics & Citations
Metrics
Citations
Download citation
If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download.