Distributed Trajectory Optimization for Connected and Automated Vehicle Platoons Considering Safe Inter-Vehicle Following Gaps

Distributed Trajectory Optimization for Connected and Automated Vehicle Platoons Considering Safe Inter-Vehicle Following Gaps

Existing studies on platoon trajectory optimization of connected and automated vehicles face challenges in balancing computational efficiency, privacy, and safety. This study proposes a distributed optimization method that decomposes the platoon trajectory planning problem into independent individua...

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Bibliographic Details
Main Authors: Meiqi Liu, Ying Gao, Yikai Zeng, Ruochen Hao
Format: Article
Language:English
Published: MDPI AG 2025-06-01
Series:Systems
Subjects:
connected and automated vehicles
trajectory planning
distributed optimization
intelligent transportation systems
Online Access:https://www.mdpi.com/2079-8954/13/6/483
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