A Metamodel Simulation-based Optimization Approach for the Efficient Calibration of Stochastic Traffic Simulators
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Author(s)
Flötteröd, Gunnar
Osorio Pizano, Carolina
Zhang, Chao
Date Issued
April 2015
Journal
Transportation Research Procedia
Publisher
Elsevier BV
Citation
Osorio, Carolina et al. “A Metamodel Simulation-Based Optimization Approach for the Efficient Calibration of Stochastic Traffic Simulators.” Transportation Research Procedia 6 (2015): 213–223 © 2015 The Authors
Version
Final published version
Abstract
This work considers the calibration of stochastic microscopic traffic simulators. It formulates the calibration problem as a simulation-based optimization (SO) problem, and uses metamodel SO ideas. The main idea is to embed within the calibration algorithm an analytical problem-specific description of how the calibration parameters are related to the simulation-based objective function. Preliminary results on a toy network are presented. Ongoing work applies these ideas to the calibration of a Berlin metropolitan area network. Keywords: calibration; stochastic microscopic simulation; simulation-based optimization
MIT Department
Massachusetts Institute of Technology. Department of Civil and Environmental Engineering
Terms of Use
Creative Commons Attribution-NonCommercial-NoDerivs License
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1016/J.TRPRO.2015.03.017
