A Hierarchical Robust Control Strategy for Decentralized Signal-Free Intersection Management

Fuente: arXiv
Guardado en:
Detalles Bibliográficos
Autores principales: Pan, Xiao, Chen, Boli, Dai, Li, Timotheou, Stelios, Evangelou, Simos A.
Formato: Preprint
Publicado: 2022
Materias:
Acceso en línea:
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
_version_ 1866913564130803712
author Pan, Xiao
Chen, Boli
Dai, Li
Timotheou, Stelios
Evangelou, Simos A.
author_facet Pan, Xiao
Chen, Boli
Dai, Li
Timotheou, Stelios
Evangelou, Simos A.
contents The development of connected and automated vehicles is the key to improving urban mobility safety and efficiency. This paper focuses on cooperative vehicle management at a signal-free intersection with consideration of vehicle modeling uncertainties and sensor measurement disturbances. The problem is approached by a hierarchical robust control strategy in a decentralized traffic coordination framework where optimal control and tube-based robust model predictive control methods are designed to hierarchically solve the optimal crossing order and the velocity trajectories of a group of CAVs in terms of energy consumption and throughput. To capture the energy consumption of each vehicle, their powertrain system is modeled in line with an electric drive system. With a suitable relaxation and spatial modeling approach, the optimization problems in the proposed strategy can be formulated as convex second-order cone programs, which provide a unique and computationally efficient solution. A rigorous proof of the equivalence between the convexified and the original problems is also provided. Simulation results illustrate the effectiveness and robustness of the proposed strategy and reveal the impact of traffic density on the control solution. The study of the Pareto optimal solutions for the energy-time objective shows that a minor reduction in journey time can considerably reduce energy consumption, which emphasizes the necessity of optimizing their trade-off. Finally, the numerical comparisons carried out for different prediction horizons and sampling intervals provide insight into the control design.
format Preprint
id arxiv_https___arxiv_org_abs_2206_14986
institution arXiv
publishDate 2022
record_format arxiv
spellingShingle A Hierarchical Robust Control Strategy for Decentralized Signal-Free Intersection Management
Pan, Xiao
Chen, Boli
Dai, Li
Timotheou, Stelios
Evangelou, Simos A.
Optimization and Control
Systems and Control
The development of connected and automated vehicles is the key to improving urban mobility safety and efficiency. This paper focuses on cooperative vehicle management at a signal-free intersection with consideration of vehicle modeling uncertainties and sensor measurement disturbances. The problem is approached by a hierarchical robust control strategy in a decentralized traffic coordination framework where optimal control and tube-based robust model predictive control methods are designed to hierarchically solve the optimal crossing order and the velocity trajectories of a group of CAVs in terms of energy consumption and throughput. To capture the energy consumption of each vehicle, their powertrain system is modeled in line with an electric drive system. With a suitable relaxation and spatial modeling approach, the optimization problems in the proposed strategy can be formulated as convex second-order cone programs, which provide a unique and computationally efficient solution. A rigorous proof of the equivalence between the convexified and the original problems is also provided. Simulation results illustrate the effectiveness and robustness of the proposed strategy and reveal the impact of traffic density on the control solution. The study of the Pareto optimal solutions for the energy-time objective shows that a minor reduction in journey time can considerably reduce energy consumption, which emphasizes the necessity of optimizing their trade-off. Finally, the numerical comparisons carried out for different prediction horizons and sampling intervals provide insight into the control design.
title A Hierarchical Robust Control Strategy for Decentralized Signal-Free Intersection Management
topic Optimization and Control
Systems and Control
url https://arxiv.org/abs/2206.14986