Parameter selection for "pcma " using surrogate-Assisted blackbox optimization and microscopic traffic simulation

Publikation: Beitrag in Buch/Bericht/TagungsbandKonferenzbeitragBegutachtung

1 Zitat (Scopus)

Abstract

Routing algorithms have become significantly more sophisticated in recent years as increasingly more data on road networks, vehicles and drivers becomes available. The correct parametrization of such algorithms is a difficult task since the underlying traffic model needs to reflect the complexity of the algorithm and should resemble reality closely. A major drawback of such models is that evaluating a certain parameter setting may become computationally expensive, preventing the use of conventional optimization algorithms. In this work a combination of surrogate assisted black box optimization and microscopic traffic simulation is used to optimize the parameters of a recently published routing algorithm.

OriginalspracheEnglisch
Titel29th European Modeling and Simulation Symposium, EMSS 2017, Held at the International Multidisciplinary Modeling and Simulation Multiconference, I3M 2017
Redakteure/-innenFrancesco Longo, Michael Affenzeller, Miquel Angel Piera, Agostino G. Bruzzone, Emilio Jimenez
Herausgeber (Verlag)CAL-TEK S.r.l.
Seiten117-124
Seitenumfang8
ISBN (elektronisch)9781510847651
PublikationsstatusVeröffentlicht - 2017
Veranstaltung29th European Modeling and Simulation Symposium, EMSS 2017 - Barcelona, Spanien
Dauer: 18 Sep. 201720 Sep. 2017

Publikationsreihe

Name29th European Modeling and Simulation Symposium, EMSS 2017, Held at the International Multidisciplinary Modeling and Simulation Multiconference, I3M 2017

Konferenz

Konferenz29th European Modeling and Simulation Symposium, EMSS 2017
Land/GebietSpanien
OrtBarcelona
Zeitraum18.09.201720.09.2017

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