Publikation

PARAMETER SELECTION FOR “PCMA*” USING SURROGATE-ASSISTED BLACK-BOX OPTIMIZATION AND MICROSCOPIC TRAFFIC SIMULATION

Outline:

B. Werth, E. Pitzer, M. Affenzeller, C. 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

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.