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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 Übersetzung | Parameter Selection for “PCMA*” Using Surrogate-Assisted Black-Box Optimization and Microscopic Traffic Simulation |
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Originalsprache | Deutsch |
Titel | Proceedings of the 29th European Modeling and Simulation Symposium, 2017, Barcelona, Spain |
Publikationsstatus | Veröffentlicht - 2017 |
Veranstaltung | The 29th European Modeling & Simulation Symposium EMSS 2017 - Barcelona, Spanien Dauer: 18 Sep. 2017 → 20 Sep. 2017 http://www.msc-les.org/conf/emss2017/ |
Konferenz
Konferenz | The 29th European Modeling & Simulation Symposium EMSS 2017 |
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Land/Gebiet | Spanien |
Ort | Barcelona |
Zeitraum | 18.09.2017 → 20.09.2017 |
Internetadresse |
Schlagwörter
- traffic simulation
- surrogate assisted optimization
- evolutionary algorithms
- noisy optimization
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Ostermayer, G. (Leitende(r) Forscher/-in), Plattner, M. (Weitere Forschende), Werth, B. (Weitere Forschende) & Eder, S. (Weitere Forschende)
IWB Investitionen in Wachstum und Beschäftigung 2014 - 2020
01.01.2016 → 30.06.2019
Projekt: Forschungsprojekt