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|Title:||Genetic algorithm approach in FRESIM calibration||Authors:||Cheu, Ruey-Long
|Issue Date:||1998||Citation:||Cheu, 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.||Abstract:||The 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.||Source Title:||Proceedings of the International Conference on Applications of Advanced Technologies in Transportation Engineering||URI:||http://scholarbank.nus.edu.sg/handle/10635/50625|
|Appears in Collections:||Staff Publications|
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