[BibTeX] [RIS]
Evaluation of Traffic Controller Performance via Systematic Exploration
Type of publication: Inproceedings
Citation:
Booktitle: Post-proceedings of the 66th International Symposium ELMAR-2024
Year: 2024
Month: September
Pages: 165 -- 168
Publisher: IEEE
Location: Zadar, Croatia
ISSN: 2835-3781
ISBN: 979-8-3503-7542-8
URL: https://ieeexplore.ieee.org/do...
DOI: 10.1109/ELMAR62909.2024.10694499
Abstract: Traffic controllers must operate reliably across diverse traffic states. Due to the stochastic non-linear characteristics of traffic flow, commonly used feedback-based controllers require parameter tuning for each specific traffic regime, which is done offline using simulations. Generating representative traffic scenarios for large-scale simulations is often computationally expensive. To reduce the computational burden, this paper proposes a systematic exploration of the Structured Simulation Framework (SSF). This approach aims to approximate controller performance with a minimal number of simulations, by adjusting the parameter space continuously to regions where controller performances are weakly approximated. This process continues until controller performance is well approximated across the entire input domain. Results show SSF convergence of performance estimate of the controller while reducing the number of required simulations. This helps identify traffic scenarios where the controller performs poorly, and, thus, can be used as a framework towards guided controller tuning.
Keywords: Function approximation, Microscopic traffic simulation, Structured simulations, Traffic control
Authors Kušić, Krešimir
Calvaresi, Davide
Liffey, Amy
Fanda, Lora
Gregurić, Martin
Ivanjko, Edouard
Schumann, René
Added by: []
Total mark: 0
Attachments
  • ELMAR2024_SimEx_VSL.pdf
Notes
    Topics