Iterative calibration method for microscopic road traffic simulators

Tamás Tettamanti, Zoltán Ám Milacski, András Lóŕincz, István Varga

Research output: Contribution to journalArticle

3 Citations (Scopus)

Abstract

Recently, computer simulation aided work has become a standard routine in all engineering fields. Accordingly, simulation plays a fundamental role even in road traffic engineering. A reliable simulator is able to provide effective analysis of a given traffic network if the applied simulation scenarios properly converge to the real-word situation. This requirement can be achieved based on the mixed use of prior real-world traffic measurements and proper simulation settings. The latter one, however, is not straightforward. Accordingly, the paper investigates a potential calibration technique to create realistic simulations. Basically, a tuning method with genetic algorithm is proposed to reproduce true-to-life traffic based on floating car speed data.

Original languageEnglish
Pages (from-to)87-91
Number of pages5
JournalPeriodica Polytechnica Transportation Engineering
Volume43
Issue number2
DOIs
Publication statusPublished - Jan 1 2015

Keywords

  • Calibration
  • Genetic algorithm
  • Microscopic traffic simulation

ASJC Scopus subject areas

  • Modelling and Simulation
  • Automotive Engineering
  • Aerospace Engineering
  • Mechanical Engineering

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