A Metamodel Simulation-based Optimization Approach for the Efficient Calibration of Stochastic Traffic Simulators
2015 (English)Conference paper (Refereed)Text
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.
calibration, simulation-based optimization, stochastic microscopic simulation
Economics and Business
IdentifiersURN: urn:nbn:se:kth:diva-187543DOI: 10.1016/j.trpro.2015.03.017ISI: 000380490100017ScopusID: 2-s2.0-84959353413OAI: oai:DiVA.org:kth-187543DiVA: diva2:937027
Transportation Research Procedia
Funding Details: 1334304, NSF, National Science Foundation
QC 201606142016-06-142016-05-252016-09-05Bibliographically approved