Optimization-based Coordination of Connected, Automated Vehicles at Intersections
Artikel i vetenskaplig tidskrift, 2020

In this paper, we analyse the performance of a model predictive controller for coordination of connected, automated vehicles at intersections. The problem has combinatorial complexity, and we propose to solve it approximately by using a two stage procedure where (1) the vehicle crossing order in which the vehicles cross the intersection is found by solving a mixed integer quadratic program and (2) the control commands are subsequently found by solving a nonlinear program. We show that the controller is persistently safe and compare its performance against traffic lights and two simpler optimisationbased coordination schemes. The results show that our approach outperforms the considered alternatives in terms of both energy consumption and travel-time delay, especially for medium to high traffic loads

Connected and autonomous vehicles

model predictive control

intelligent transportation systems


Robert Hult

Chalmers, Elektroteknik, System- och reglerteknik

Mario Zanon

IMT Alti Studi Lucca

Sebastien Gros

Chalmers, Elektroteknik, System- och reglerteknik

Norges teknisk-naturvitenskapelige universitet

Henk Wymeersch

Chalmers, Elektroteknik, Kommunikation, Antenner och Optiska Nätverk

Paolo Falcone

Chalmers, Elektroteknik, System- och reglerteknik

Vehicle System Dynamics

0042-3114 (ISSN) 1744-5159 (eISSN)

Vol. 58 5 726-747


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