Calibration of a rule-based intelligent network simulation model

A. A. Memon, M. Meng, Y. D. Wong, S. H. Lam

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)

Abstract

This paper is focused on calibration of an intelligent network simulation model INSIMwith real- life transportation network to analyse the INSIMs feasibility in simulating commuterstravel 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 JNS1M expert system by means of an application programming interface to form the INSIM. pon calibrationEVSIM 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 - Mar 2016
Externally publishedYes

Bibliographical note

Publisher Copyright:
© The Authors2016.

ASJC Scopus Subject Areas

  • Transportation
  • Mechanical Engineering
  • Computer Science Applications
  • Electrical and Electronic Engineering

Keywords

  • Calibration
  • Integrated traveller information
  • Mode choice
  • Traffic simulation

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