Hybrid MPC System for Platoon based Cooperative Lane change Control Using Machine Learning Aided Distributed Optimization

•Design the hybrid MPC system to conduct the platoon-based cooperative lane-change control.•Design the MINLP-MPC model to search optimal lane-change decisions with time window concern.•Prove the solution feasibility of MINLP-MPC, and feasibility & stability of the hybrid MPC system.•Develop the...

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Veröffentlicht in:	Transportation research. Part B: methodological Jg. 159; S. 104 - 142
Hauptverfasser:	Zhang, Hanyu, Du, Lili, Shen, Jinglai
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Oxford Elsevier Ltd 01.05.2022 Elsevier Science Ltd
Schlagworte:	Algorithms Branch and bound methods Car following Computer simulation connected and autonomous vehicles Control systems Cooperative control cooperative lane-change Decision analysis distributed branch and bound Feasibility studies hybrid system controller Hybrid systems Lane changing Learning algorithms Lower bounds Machine learning Maneuvers Mathematical models Mixed integer mixed integer nonlinear programming model predictive control Nonlinear programming Optimization Platooning Predictive control Safety Sampling Sampling methods Smoothness Solution space supervised machine learning vehicle platooning Windows (intervals) cooperative lane-change model predictive control supervised machine learning connected and autonomous vehicles hybrid system controller mixed integer nonlinear programming distributed branch and bound vehicle platooning
ISSN:	0191-2615, 1879-2367
Online-Zugang:	Volltext
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