Distributionally Robust Optimization of Adaptive Cruise Control Under Uncertainty

Shangyuan Zhang, Shangyuan Zhang, Makhlouf Hadji, Abdel Lisser

2023

Abstract

Due to the recent advances in intelligent and connected vehicles, Adaptive Cruise Control (ACC) has become a key functionality of advanced driver-assistant systems (ADAS) to enhance comfort and safety. The evaluation of ACC’s efficiency and safety is also crucial for the industry to prove the reliability of its products. In our paper, we propose a distributional robust optimization-based ACC reference generation model to produce the optimal commands facing the uncertainty of sensors. By taking into account the uncertainty set with knowledge of the first and second moments, the original optimization problem with chance constraints can be simplified and solved more efficiently. Numerical experiments in a driving simulator illustrate that the robustness of the results is largely increased by minimizing the risks of violation of safety constraints.

Paper Citation

in Harvard Style

Zhang S., Hadji M. and Lisser A. (2023). Distributionally Robust Optimization of Adaptive Cruise Control Under Uncertainty. In Proceedings of the 12th International Conference on Operations Research and Enterprise Systems - Volume 1: ICORES, ISBN 978-989-758-627-9, pages 71-81. DOI: 10.5220/0011670800003396

in Bibtex Style

@conference{icores23,
author={Shangyuan Zhang and Makhlouf Hadji and Abdel Lisser},
title={Distributionally Robust Optimization of Adaptive Cruise Control Under Uncertainty},
booktitle={Proceedings of the 12th International Conference on Operations Research and Enterprise Systems - Volume 1: ICORES,},
year={2023},
pages={71-81},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011670800003396},
isbn={978-989-758-627-9},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 12th International Conference on Operations Research and Enterprise Systems - Volume 1: ICORES,
TI - Distributionally Robust Optimization of Adaptive Cruise Control Under Uncertainty
SN - 978-989-758-627-9
AU - Zhang S.
AU - Hadji M.
AU - Lisser A.
PY - 2023
SP - 71
EP - 81
DO - 10.5220/0011670800003396