Calibration of micro-simulation supply and demand parameters using bi-level algorithm

Research output: Contribution to conferencePaper

1 Scopus citations

Abstract

This paper proposes a bi-level programming approach for the calibration of the parameters of a micro-simulation model where the origin-destination matrix (OD) is treated as a parameter. In the first level a genetic algorithm is used to calculate the micro-simulation parameter set given an OD. In the second level the OD is calibrated given the calibrated parameter set from level one. The CORSIM model was chosen for testing because the input data of parameter set and OD information can be easily updated during the calibration process. The proposed approach was illustrated on a section of I-10 in Houston, Texas and it was found that this approach resulted in a mean absolute error that was approximately 70 percent better than a standard, one level calibration technique.

Original languageEnglish (US)
Pages902-909
Number of pages8
DOIs
StatePublished - 2002
EventProceedings of the seventh International Conference on: Applications of Advanced Technology in Transportation - Cambridge, MA, United States
Duration: Aug 5 2002Aug 7 2002

Other

OtherProceedings of the seventh International Conference on: Applications of Advanced Technology in Transportation
CountryUnited States
CityCambridge, MA
Period8/5/028/7/02

ASJC Scopus subject areas

  • Engineering(all)

Fingerprint Dive into the research topics of 'Calibration of micro-simulation supply and demand parameters using bi-level algorithm'. Together they form a unique fingerprint.

  • Cite this

    Kim, K., & Rilett, L. R. (2002). Calibration of micro-simulation supply and demand parameters using bi-level algorithm. 902-909. Paper presented at Proceedings of the seventh International Conference on: Applications of Advanced Technology in Transportation, Cambridge, MA, United States. https://doi.org/10.1061/40632(245)113