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

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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.
Translated title of the contributionParameter Selection for “PCMA*” Using Surrogate-Assisted Black-Box Optimization and Microscopic Traffic Simulation
Original languageGerman
Title of host publicationProceedings of the 29th European Modeling and Simulation Symposium, 2017, Barcelona, Spain
Publication statusPublished - 2017
EventThe 29th European Modeling & Simulation Symposium EMSS 2017 - Barcelona, Spain
Duration: 18 Sep 201720 Sep 2017
http://www.msc-les.org/conf/emss2017/

Conference

ConferenceThe 29th European Modeling & Simulation Symposium EMSS 2017
CountrySpain
CityBarcelona
Period18.09.201720.09.2017
Internet address

Keywords

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

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