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Optimal control of automated left-turn platoon at contraflow left-turn lane intersections

Optimal control of automated left-turn platoon at contraflow left-turn lane intersections This study aims to propose a centralized optimal control model for automated left-turn platoon at contraflow left-turn lane (CLL) intersections.Design/methodology/approachThe lateral lane change control and the longitudinal acceleration in the control horizon are optimized simultaneously with the objective of maximizing traffic efficiency and smoothness. The proposed model is cast into a mixed-integer linear programming problem and then solved by the branch-and-bound technique.FindingsThe proposed model has a promising control effect under different geometric controlled conditions. Moreover, the proposed model performs robustly under various safety time headways, lengths of the CLL and green times of the main signal.Originality/valueThis study proposed a centralized optimal control model for automated left-turn platoon at CLL intersections. The lateral lane change control and the longitudinal acceleration in the control horizon are optimized simultaneously with the objective of maximizing traffic efficiency and smoothness http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Journal of Intelligent and Connected Vehicles Emerald Publishing

Optimal control of automated left-turn platoon at contraflow left-turn lane intersections

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Optimal control of automated left-turn platoon at contraflow left-turn lane intersections

Yang, Hanyu; Zhao, Jing; Wang, Meng
Journal of Intelligent and Connected Vehicles , Volume 5 (3): 9 – Oct 11, 2022

Abstract

This study aims to propose a centralized optimal control model for automated left-turn platoon at contraflow left-turn lane (CLL) intersections.Design/methodology/approachThe lateral lane change control and the longitudinal acceleration in the control horizon are optimized simultaneously with the objective of maximizing traffic efficiency and smoothness. The proposed model is cast into a mixed-integer linear programming problem and then solved by the branch-and-bound technique.FindingsThe proposed model has a promising control effect under different geometric controlled conditions. Moreover, the proposed model performs robustly under various safety time headways, lengths of the CLL and green times of the main signal.Originality/valueThis study proposed a centralized optimal control model for automated left-turn platoon at CLL intersections. The lateral lane change control and the longitudinal acceleration in the control horizon are optimized simultaneously with the objective of maximizing traffic efficiency and smoothness

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Publisher
Emerald Publishing
Copyright
© Meng Wang, Hanyu Yang and Jing Zhao.
ISSN
2399-9802
DOI
10.1108/jicv-03-2022-0007
Publisher site
See Article on Publisher Site

Abstract

This study aims to propose a centralized optimal control model for automated left-turn platoon at contraflow left-turn lane (CLL) intersections.Design/methodology/approachThe lateral lane change control and the longitudinal acceleration in the control horizon are optimized simultaneously with the objective of maximizing traffic efficiency and smoothness. The proposed model is cast into a mixed-integer linear programming problem and then solved by the branch-and-bound technique.FindingsThe proposed model has a promising control effect under different geometric controlled conditions. Moreover, the proposed model performs robustly under various safety time headways, lengths of the CLL and green times of the main signal.Originality/valueThis study proposed a centralized optimal control model for automated left-turn platoon at CLL intersections. The lateral lane change control and the longitudinal acceleration in the control horizon are optimized simultaneously with the objective of maximizing traffic efficiency and smoothness

Journal

Journal of Intelligent and Connected Vehicles – Emerald Publishing

Published: Oct 11, 2022

Keywords: Contraflow left-turn lane intersections; Automated vehicle platoon; Optimal control; Vehicular trajectory; Automated vehicles; Connected vehicles; Cooperative intelligence; Following control; Vehicle-to-vehicle communication (V2V)

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