Optimal Coordination of Automated Vehicles at Intersections: Theory and Experiments (Early Access)
Journal article, 2018

With the introduction of Cooperative Automated Vehicles, traffic lights can be replaced by coordination algorithms. In this paper, we present a bi-level, model predictive controller for coordination of automated vehicles at intersection. The bi- level controller consists of a coordination level, where intersection occupancy timeslots are allocated, and vehicle-level controllers, where the control commands for the vehicles are computed. We establish persistent feasibility and stability of the bi-level controller under some mild assumptions, and derive conditions under which closed-loop collision avoidance can be ensured with bounded position uncertainty. We thereafter detail an implemen- tation of the coordination controller on a three-vehicle test bed, where the intersection-level optimization problem is solved using a distributed Sequential Quadratic Programming (SQP) method. We present and discuss results from an extensive experimental campaign where the proposed controller was validated. The experimental results indicate the practical applicability of the proposed controller, and validates that safety can be ensured for large positioning uncertainties.

Intersection Coordination

Networked Mobile Systems

Model Predictive Control

Distributed Optimization

Author

Robert Hult

Chalmers, Electrical Engineering, Systems and control, Mechatronics

Mario Zanon

IMT School for Advanced Studies Lucca

Sébastien Gros

Chalmers, Electrical Engineering, Systems and control, Automatic Control

Paolo Falcone

Chalmers, Electrical Engineering, Systems and control, Mechatronics

IEEE Transactions on Control Systems Technology

1063-6536 (ISSN)

Areas of Advance

Transport

Infrastructure

ReVeRe (Research Vehicle Resource)

Subject Categories

Vehicle Engineering

Robotics

Control Engineering

DOI

10.1109/TCST.2018.2871397

More information

Latest update

3/29/2019