Traffic Coordination at Road Intersections: Autonomous Decision-Making Algorithms Using Model-Based Heuristics
Artikel i vetenskaplig tidskrift, 2017
This article focuses on the traffic coordination problem at traffic intersections. We present a decentralized coordination approach, combining optimal control with model-based heuristics. We show how model-based heuristics can lead to low-complexity solutions that are suit-able for a fast online implementation, and analyze its properties in terms of efficiency, feasibility and optimality. Finally, simulation results for dif-ferent scenarios are also presented.
Engineering
Transportation
safety
vehicles
systems
Författare
Gabriel Rodrigues de Campos
Politecnico di Milano
Paolo Falcone
Chalmers, Signaler och system, System- och reglerteknik
Robert Hult
Chalmers, Signaler och system, System- och reglerteknik
Henk Wymeersch
Chalmers, Signaler och system, Kommunikation, Antenner och Optiska Nätverk
Jonas Sjöberg
Chalmers, Signaler och system, System- och reglerteknik
IEEE Intelligent Transportation Systems Magazine
19391390 (ISSN) 19411197 (eISSN)
Vol. 9 1 8-21 7823100Coopnet
Europeiska kommissionen (EU) (EC/FP7/258418), 2011-05-01 -- 2016-04-30.
COPPLAR CampusShuttle cooperative perception & planning platform
VINNOVA (2015-04849), 2016-01-01 -- 2018-12-31.
Ämneskategorier
Annan data- och informationsvetenskap
Beräkningsmatematik
Reglerteknik
Styrkeområden
Informations- och kommunikationsteknik
Transport
Infrastruktur
ReVeRe (Research Vehicle Resource)
DOI
10.1109/mits.2016.2630585