Scaling up the Optimal Safe Control of Connected and Automated Vehicles to a Traffic Network: A Hierarchical Framework of Modular Control Zones

被引:0
|
作者
Xu, Kaiyuan [1 ,2 ]
Cassandras, Christos G. [1 ,2 ]
机构
[1] Boston Univ, Div Syst Engn, Brookline, MA 02446 USA
[2] Boston Univ, Ctr Informat & Syst Engn, Brookline, MA 02446 USA
关键词
MODEL-PREDICTIVE CONTROL; TIME;
D O I
10.1109/ITSC57777.2023.10422437
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
We consider the problem of scaling up optimal and safe controllers for Connected and Automated Vehicles (CAVs) from a single Control Zone (CZ) around a traffic conflict area to an entire network. The goal is to jointly minimize travel time and energy consumption for all CAVs, while providing speed-dependent safety guarantees within a CZ and satisfying velocity and acceleration constraints. A hierarchical modular CZ framework is developed consisting of a lower level where decentralized controllers are used that combine Optimal control and Control Barrier Functions (OCBF) and a higher level where a feedback flow controller is proposed to coordinate adjacent CZs. The flow controller is parameterized by a terminal velocity constraint that serves as the interface between CZs. Simulation results show that the proposed modular control zone framework outperforms a direct extension of the OCBF framework to multiple CZs without any flow control.
引用
收藏
页码:1448 / 1453
页数:6
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