Parameter Selection for “PCMA*” Using Surrogate-Assisted Black-Box Optimization and Microscopic Traffic Simulation

Publikation: Beitrag in Buch/Bericht/TagungsbandKonferenzbeitrag

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.
Titel in ÜbersetzungParameter Selection for “PCMA*” Using Surrogate-Assisted Black-Box Optimization and Microscopic Traffic Simulation
OriginalspracheDeutsch
TitelProceedings of the 29th European Modeling and Simulation Symposium, 2017, Barcelona, Spain
PublikationsstatusVeröffentlicht - 2017
VeranstaltungThe 29th European Modeling & Simulation Symposium EMSS 2017 - Barcelona, Spanien
Dauer: 18 Sep. 201720 Sep. 2017
http://www.msc-les.org/conf/emss2017/

Konferenz

KonferenzThe 29th European Modeling & Simulation Symposium EMSS 2017
Land/GebietSpanien
OrtBarcelona
Zeitraum18.09.201720.09.2017
Internetadresse

Schlagwörter

  • traffic simulation
  • surrogate assisted optimization
  • evolutionary algorithms
  • noisy optimization

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