Surrogate-assisted high-dimensional optimization on microscopic traffic simulators

Publikation: Beitrag in Buch/Bericht/TagungsbandKonferenzbeitragBegutachtung

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Abstract

Microscopic traffic simulation is able to capture many details of a traffic system, which makes it inherently interesting for simulation-based optimization. However, the considerable computational effort required for a single simulation run limits the use of standard heuristic optimization techniques and encourages the use of surrogate models to facilitate the search for an optimal solution. In this work, a grey-box surrogate model for microscopic traffic simulations is presented which allows the optimization of high-dimensional traffic optimization problems without relying on geographic or simulation-specific knowledge.

OriginalspracheEnglisch
Titel30th European Modeling and Simulation Symposium, EMSS 2018
Redakteure/-innenYuri Merkuryev, Miquel Angel Piera, Francesco Longo, Agostino G. Bruzzone, Michael Affenzeller, Emilio Jimenez
Herausgeber (Verlag)DIME UNIVERSITY OF GENOA
Seiten46-53
Seitenumfang8
ISBN (elektronisch)9788885741065
ISBN (Print)978-88-85741-03-4
PublikationsstatusVeröffentlicht - 2018
Veranstaltung30th European Modeling and Simulation Symposium, EMSS 2018 - Budapest, Ungarn
Dauer: 17 Sep. 201819 Sep. 2018

Publikationsreihe

Name30th European Modeling and Simulation Symposium, EMSS 2018

Konferenz

Konferenz30th European Modeling and Simulation Symposium, EMSS 2018
Land/GebietUngarn
OrtBudapest
Zeitraum17.09.201819.09.2018

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