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Please use this identifier to cite or link to this item: https://scholarbank.nus.edu.sg/handle/10635/50625
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dc.titleGenetic algorithm approach in FRESIM calibration
dc.contributor.authorCheu, Ruey-Long
dc.contributor.authorJin, X.
dc.contributor.authorNg, K.C.
dc.contributor.authorNg, Y.L.
dc.contributor.authorSrinivasan, D.
dc.date.accessioned2014-04-23T03:01:40Z
dc.date.available2014-04-23T03:01:40Z
dc.date.issued1998
dc.identifier.citationCheu, Ruey-Long,Jin, X.,Ng, K.C.,Ng, Y.L.,Srinivasan, D. (1998). Genetic algorithm approach in FRESIM calibration. Proceedings of the International Conference on Applications of Advanced Technologies in Transportation Engineering : 191-198. ScholarBank@NUS Repository.
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/50625
dc.description.abstractThe FRESIM simulation model has been calibrated for an expressway in Singapore. This paper presents the application of genetic algorithm as a search method for finding a suitable combination of parameter values. The calibration is based on field data collected in a typical evening peak period over a 5.9 km segment of Ayer Rajah Expressway. The calibrated parameters, including free-flow speed and minimum distance and sensitivity factors in car-following, enable FRESIM to produce 30-second loop detector volume and speed output (averaged across all lanes) closely match with the field data. This is a significant improvement from using the default values.
dc.sourceScopus
dc.typeConference Paper
dc.contributor.departmentCIVIL ENGINEERING
dc.contributor.departmentELECTRICAL ENGINEERING
dc.description.sourcetitleProceedings of the International Conference on Applications of Advanced Technologies in Transportation Engineering
dc.description.page191-198
dc.description.coden00231
dc.identifier.isiutNOT_IN_WOS
Appears in Collections:Staff Publications

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