Optimal control of automated left-turn platoon at contraflow left-turn lane intersections
Research output: Contribution to journal › Research article › Contributed › peer-review
Contributors
Abstract
Purpose: This study aims to propose a centralized optimal control model for automated left-turn platoon at contraflow left-turn lane (CLL) intersections. Design/methodology/approach: 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. The proposed model is cast into a mixed-integer linear programming problem and then solved by the branch-and-bound technique. Findings: The 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/value: This 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.
Details
Original language | English |
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Pages (from-to) | 206-214 |
Number of pages | 9 |
Journal | Journal of Intelligent and Connected Vehicles |
Volume | 5 |
Issue number | 3 |
Publication status | Published - 11 Oct 2022 |
Peer-reviewed | Yes |
External IDs
ORCID | /0000-0001-6555-5558/work/171064753 |
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Keywords
ASJC Scopus subject areas
Keywords
- Automated vehicle platoon, Automated vehicles, Connected vehicles, Contraflow left-turn lane intersections, Cooperative intelligence, Following control, Optimal control, Vehicle-to-vehicle communication (V2V), Vehicular trajectory