Simplex-Based Calibration of Traffic Microsimulation Models with Intelligent Transportation Systems Data

Kyu Ok Kim, L. R. Rilett

Research output: Contribution to journalArticlepeer-review

38 Scopus citations


In recent years, microsimulation has become increasingly important in transportation system modeling. A potential issue is whether these models adequately represent reality and whether enough data exist with which to calibrate these models. There has been rapid deployment of intelligent transportation system (ITS) technologies in most urban areas of North America in the last 10 years. While ITSs are developed primarily for realtime traffic operations, the data are typically archived and available for traffic microsimulation calibration. A methodology, based on the sequential simplex algorithm, that uses ITS data to calibrate microsimulation models is presented. The test bed is a 23-km section of Interstate 10 in Houston, Texas. Two microsimulation models, CORSIM and TRANSIMS, were calibrated for two different demand matrices and three periods (morning peak, evening peak, and off-peak). It was found for the morning peak that the simplex algorithm had better results then either the default values or a simple, manual calibration. As the level of congestion decreased, the effectiveness of the simplex approach also decreased, as compared with standard techniques.

Original languageEnglish (US)
Pages (from-to)80-89
Number of pages10
JournalTransportation Research Record
Issue number1855
StatePublished - 2003
Externally publishedYes

ASJC Scopus subject areas

  • Civil and Structural Engineering
  • Mechanical Engineering

Fingerprint Dive into the research topics of 'Simplex-Based Calibration of Traffic Microsimulation Models with Intelligent Transportation Systems Data'. Together they form a unique fingerprint.

Cite this