In this paper we consider the problem of coordinating autonomous vehicles approaching an intersection. We cast the problem in the distributed optimisation framework and propose an algorithm to solve it in real time. We extend previous work on the topic by testing two alternative algorithmic solutions in simulations. Moreover, we test our algorithm in experiments using real cars on a test track. The experimental results demonstrate the applicability and real-time feasibility of the algorithm.
@article{arxiv.1704.01081,
title = {A Feasibility-Enforcing Primal-Decomposition SQP Algorithm for Optimal Vehicle Coordination},
author = {Mario Zanon and Robert Hult and Sebastien Gros and Paolo Falcone},
journal= {arXiv preprint arXiv:1704.01081},
year = {2017}
}