Calibration of a rule-based intelligent network simulation model

AA Memon, M Meng, YD Wong, SH Lam

Research output: Contribution to journalArticlepeer-review

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.
Original languageEnglish
Pages (from-to)48-61
Number of pages14
JournalJournal of Modern Transportation
Volume24
Issue number1
DOIs
Publication statusPublished - 2016

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