Quadratic approximation based heuristic for optimization-based coordination of automated vehicles in confined areas
Paper i proceeding, 2022

We investigate the problem of coordinating multiple automated vehicles (AVs) in confined areas. This problem can be formulated as an optimal control problem (OCP) where the motion of the AVs is optimized such that collisions are avoided in cross-intersections, merge crossings, and narrow roads. The problem is combinatorial and solving it to optimality is prohibitively difficult for all but trivial instances. For this reason, we propose a heuristic method to obtain approximate solutions. The heuristic comprises two stages: In the first stage, a Mixed Integer Quadratic Program (MIQP), similar in construction to the Quadratic Programming (QP) sub-problems in Sequential Quadratic Programming (SQP), is solved for the combinatorial part of the solution. In the second stage, the combinatorial part of the solution is held fixed, and the optimal state and control trajectories for the vehicles are obtained by solving a Nonlinear Program (NLP). The performance of the algorithm is demonstrated by a simulation of a non-trivial problem instance.


Stefan Kojchev

Chalmers, Elektroteknik, System- och reglerteknik

Robert Hult

Volvo Group

Jonas Fredriksson

Chalmers, Elektroteknik, System- och reglerteknik

Proceedings of the IEEE Conference on Decision and Control

07431546 (ISSN) 25762370 (eISSN)

Vol. 2022-December 6156-6162
9781665467612 (ISBN)

61st IEEE Conference on Decision and Control, CDC 2022
Cancun, Mexico,

Högintegritetssystem för att säkra säkerheten för automatiserade körsystem

VINNOVA (2018-02708), 2018-10-01 -- 2022-03-01.





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