Genetic-algorithm-based approach for calibrating microscopic simulation models

K. O. Kim, L. R. Rilett

Research output: Contribution to conferencePaper

11 Scopus citations

Abstract

In the transportation field simulation has been widely used as a powerful tool for the analysis and design of transportation systems. The advantage of using simulation is that it offers the user an opportunity to evaluate alternative strategies and to test new transportation. The proper calibration of the input parameters of microscopic simulation models is essential if the model is to replicate supply characteristics, demand characteristics, and their interaction. These parameters affect the interaction among the driver, vehicle, and the roadway environment systems. This paper will present an automatic calibration approach for microscopic simulation model that is based on a genetic algorithm. The proposed approach will be demonstrated on a section of US 290 in Houston and a section of I-37 in San Antonio, Texas.

Original languageEnglish (US)
Pages698-704
Number of pages7
StatePublished - Jan 1 2001
Event2001 IEEE Intelligent Transportation Systems Proceedings - Oakland, CA, United States
Duration: Aug 25 2001Aug 29 2001

Other

Other2001 IEEE Intelligent Transportation Systems Proceedings
CountryUnited States
CityOakland, CA
Period8/25/018/29/01

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ASJC Scopus subject areas

  • Automotive Engineering
  • Mechanical Engineering
  • Computer Science Applications

Cite this

Kim, K. O., & Rilett, L. R. (2001). Genetic-algorithm-based approach for calibrating microscopic simulation models. 698-704. Paper presented at 2001 IEEE Intelligent Transportation Systems Proceedings, Oakland, CA, United States.