Memon, A. A., Meng, M. ORCID: https://orcid.org/0000-0001-7240-6454, Wong, Y. D. and Lam, S. H. (2016) Calibration of a rule-based intelligent network simulation model. Journal of Modern Transportation, 24 (1). pp. 48-61. ISSN 2095-087X (Print), 2196-0577 (Online) (doi:10.1007/s40534-015-0091-1)

PDF (Publisher's PDF - Open Access) 22706 MENG_Calibration_of_a_Rule-Based_Intelligent_Network_Simulation_Model_(OA)_2015.pdf - Published Version Available under License Creative Commons Attribution. Download (3MB)

Abstract

This paper is focused on calibration of an intelligent network simulation model (INSIM) with real-life transportation network to analyse the INSIM’s feasibility in simulating commuters’ travel choice behaviour under the influence of real-time integrated multimodal traveller information (IMTI). A transportation network model for the central and western areas of Singapore was simulated in PARAMICS and integrated with INSIM expert system by means of an application programming interface to form the INSIM. Upon calibration, INSIM was able to realistically present complicated scenarios in which real-time IMTI was provided to commuters and the network performance measures being recorded.

Item Type:	Article
Additional Information:	© The Author(s) 2016. Open Access. This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
Uncontrolled Keywords:	Traffic simulation; Integrated traveller information; Calibration; Mode choice
Subjects:	H Social Sciences > HE Transportation and Communications
Faculty / School / Research Centre / Research Group:	Faculty of Business Faculty of Business > Networks and Urban Systems Centre (NUSC) > Connected Cities Research Group Faculty of Business > Department of Systems Management & Strategy
Last Modified:	12 Feb 2019 12:08
URI:	http://gala.gre.ac.uk/id/eprint/22706

Actions (login required)

View Item

Downloads