Publikation

Surrogate-Assisted High-Dimensional Optimization on Microscopic Traffic Simulators

Outline:

B. Werth, E. Pitzer, G. Ostermayer, M. Affenzeller - Surrogate-Assisted High-Dimensional Optimization on Microscopic Traffic Simulators - Proceedings of the 30th European Modeling and Simulation Symposium EMSS2018, Budapest, Hungary, Ungarn, 2018, pp. 46-52

Abstract:

Microscopic traffic simulation is able to capture many details of a traffic system, which makes it inherently interesting for simulation-based optimization. However, the considerable computational effort required for a single simulation run limits the use of standard heuristic optimization techniques and encourages the use of surrogate models to facilitate the search for an optimal solution. In this work, a grey-box surrogate model for microscopic traffic simulations is presented which allows the optimization of high-dimensional traffic optimization problems without relying on geographic or simulation-specific knowledge.