Intersection intelligence: Supporting urban platooning with virtual traffic lights over virtualized intersection-based routing

José Víctor Saiáns-Vázquez, Esteban Fernando Ordóñez-Morales, Martín López-Nores, Yolanda Blanco-Fernández, Jack Fernando Bravo-Torres, José Juan Pazos-Arias, Alberto Gil-Solla, Manuel Ramos-Cabrer

Research output: Contribution to journalArticlepeer-review

4 Scopus citations

Abstract

© 2018 by the authors. Licensee MDPI, Basel, Switzerland. The advent of the autonomous car is paving the road to the realization of ideas that will help optimize traffic flows, increase safety and reduce fuel consumption, among other advantages. We present one proposal to bring together Virtual Traffics Lights (VTLs) and platooning in urban scenarios, leaning on vehicle-to-vehicle (V2V) communication protocols that turn intersections into virtual containers of data. Newly-introduced protocols for the combined management of VTLs and platoons are validated by simulation, comparing a range of routing protocols for the vehicular networks with the baseline given by common deployments of traditional traffic lights ruled by state-of-the-art policies. The simulation results show that the combination of VTLs and platoons can achieve significant reductions in travel times and fuel consumption, provided that proper algorithms are used to handle the V2V communications.
Original languageEnglish (US)
JournalSensors (Switzerland)
DOIs
StatePublished - 20 Nov 2018

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