Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/74421
Title: Using GPS data to calibrate arterial speed profile in paramics
Authors: Wee, S.H. 
Cheu, R.L. 
Lee, D.-H. 
Chan, W.T. 
Issue Date: 2002
Source: Wee, S.H.,Cheu, R.L.,Lee, D.-H.,Chan, W.T. (2002). Using GPS data to calibrate arterial speed profile in paramics. Proceedings of the International Conference on Applications of Advanced Technologies in Transportation Engineering : 64-71. ScholarBank@NUS Repository.
Abstract: The paper introduces a methodology that uses global positioning system (GPS) data to calibrate simulated vehicle speed along signalized arterials in PARAMICS, a microscopic traffic simulation model. The objective of this calibration is to minimize the absolute error between speed profiles along an arterial obtained from GPS and simulated data, under different signal phases at both ends of the link. The calibrated parameters in PARAMICS were link speed limit, maximum acceleration rate, mean target headway, mean reaction time and minimum gap. The calibration has enabled PARAMICS to generate speed profiles with an average absolute error of not more than 5.0 km/h, which is at least an 11% improvement from using the default parameter values.
Source Title: Proceedings of the International Conference on Applications of Advanced Technologies in Transportation Engineering
URI: http://scholarbank.nus.edu.sg/handle/10635/74421
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