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A Metamodel Simulation-based Optimization Approach for the Efficient Calibration of Stochastic Traffic Simulators
KTH, School of Architecture and the Built Environment (ABE), Transport Science, System Analysis and Economics.
2015 (English)Conference paper, Published paper (Refereed)
Resource type
Text
Abstract [en]

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.

Place, publisher, year, edition, pages
Elsevier, 2015. 213-223 p.
Keyword [en]
calibration, simulation-based optimization, stochastic microscopic simulation
National Category
Economics and Business
Identifiers
URN: urn:nbn:se:kth:diva-187543DOI: 10.1016/j.trpro.2015.03.017ISI: 000380490100017Scopus ID: 2-s2.0-84959353413OAI: oai:DiVA.org:kth-187543DiVA: diva2:937027
Conference
Transportation Research Procedia
Note

Funding Details: 1334304, NSF, National Science Foundation

QC 20160614

Available from: 2016-06-14 Created: 2016-05-25 Last updated: 2016-09-05Bibliographically approved

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CiteExportLink to record
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Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
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  • Other locale
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Output format
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  • asciidoc
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