Bernhard Werth, Erik Pitzer, Hrg. Michael Affenzeller, Christian Backfrieder,
"Parameter Selection for ?PCMA*? Using Surrogate-Assisted Black-Box Optimization and Microscopic Traffic Simulation"
: Proceedings of the 29th European Modeling and Simulation Symposium, 2017, Barcelona, Spain, Barcelona, Spanien, 2017, 2017
Original Titel:
Parameter Selection for ?PCMA*? Using Surrogate-Assisted Black-Box Optimization and Microscopic Traffic Simulation
Sprache des Titels:
Englisch
Original Buchtitel:
Proceedings of the 29th European Modeling and Simulation Symposium, 2017, Barcelona, Spain, Barcelona, Spanien, 2017
Original Kurzfassung:
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.
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