Please use this identifier to cite or link to this item:
Title: Calibration of FRESIM for Singapore expressway using genetic algorithm
Authors: Cheu, R.-L.
Jin, X.
Ng, K.-C.
Ng, Y.-L.
Srinivasan, D. 
Issue Date: Nov-1998
Citation: Cheu, R.-L.,Jin, X.,Ng, K.-C.,Ng, Y.-L.,Srinivasan, D. (1998-11). Calibration of FRESIM for Singapore expressway using genetic algorithm. Journal of Transportation Engineering 124 (6) : 526-535. ScholarBank@NUS Repository.
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.
Source Title: Journal of Transportation Engineering
ISSN: 0733947X
Appears in Collections:Staff Publications

Show full item record
Files in This Item:
There are no files associated with this item.

Page view(s)

checked on Nov 24, 2022

Google ScholarTM


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.