Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/50625
Title: Genetic algorithm approach in FRESIM calibration
Authors: Cheu, Ruey-Long 
Jin, X.
Ng, K.C.
Ng, Y.L.
Srinivasan, D. 
Issue Date: 1998
Source: 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
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