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Swarm-based Traffic Lights Policy Selection

Belletti, Riccardo und Bonfietti, Alessio und Foschini, Luca und Milano, Michela und Krajzewicz, Daniel (2014) Swarm-based Traffic Lights Policy Selection. In: 4th ACM Symposium on Development and Analysis of Intelligent Vehicular Networks and Applications, DIVANet 2014. Fourth ACM International Symposium on Design and Analysis of Intelligent Vehicular Networks and Applications (DIVANet’14), 21.-26. September 2014, Montreal, Canada. doi: 10.1145/2656346.2656364. ISBN 978-1-4503-3028-2.

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Kurzfassung

Improving the efficiency of urban vehicular mobility, also via the optimized management of the dynamic behavior of traffic lights with limited infrastructure investments and limited operational costs, is widely recognized as a crucial goal for smart cities, capable of relevant economic impacts in terms of travel time/cost reduction and better sustainability. Within this context, in the framework of the ongoing EU FP7 COLOMBO project, we are investigating, developing, and thoroughly evaluating innovative locality-based vehicular cooperation protocols for the determination of traffic characteristics in proximity of intersections, with no need for communication towards global data collection centers. One of the specific and original goals in COLOMBO is to achieve reasonable and sufficiently accurate traffic estimations with limited penetration rates of actively participating vehicles equipped with differentiated V2X capabilities (full-fledged V2X-enabled cars but also vehicles with only onboard smartphones). In this paper, we specifically focus on our recent research work of implementation and evaluation of our protocols on top of the iTETRIS simulation platform, a state-of-the-art integrated platform resulted from the synergic interworking of the ns-3 network and the SUMO vehicular mobility simulators. In particular, here we originally describe how to effectively and efficiently implement V2X protocols on iTETRIS, as well as lessons learned from our practical experience of deployment, evaluation, and protocol/iTETRIS fine-tuning. The reported simulation results (obtained through realistic simulations based on real traffic traces and the real road topology of the city of Bologna) show the feasibility of the proposed approach also with very limited penetration rates.

elib-URL des Eintrags:https://elib.dlr.de/91055/
Dokumentart:Konferenzbeitrag (Vortrag)
Titel:Swarm-based Traffic Lights Policy Selection
Autoren:
AutorenInstitution oder E-Mail-AdresseAutoren-ORCID-iDORCID Put Code
Belletti, RiccardoUniversity of BolognaNICHT SPEZIFIZIERTNICHT SPEZIFIZIERT
Bonfietti, AlessioUniversity of BolognaNICHT SPEZIFIZIERTNICHT SPEZIFIZIERT
Foschini, LucaUniversity of BolognaNICHT SPEZIFIZIERTNICHT SPEZIFIZIERT
Milano, MichelaUniversity of BolognaNICHT SPEZIFIZIERTNICHT SPEZIFIZIERT
Krajzewicz, Danieldaniel.krajzewicz (at) dlr.dehttps://orcid.org/0000-0003-1045-8800NICHT SPEZIFIZIERT
Datum:21 September 2014
Erschienen in:4th ACM Symposium on Development and Analysis of Intelligent Vehicular Networks and Applications, DIVANet 2014
Referierte Publikation:Ja
Open Access:Nein
Gold Open Access:Nein
In SCOPUS:Ja
In ISI Web of Science:Nein
DOI:10.1145/2656346.2656364
ISBN:978-1-4503-3028-2
Status:veröffentlicht
Stichwörter:Traffic Monitoring, V2V Communications, Vehicular Peer-to-Peer Cooperation, SUMO & ns-3 Simulations, Limited Penetration Rate
Veranstaltungstitel:Fourth ACM International Symposium on Design and Analysis of Intelligent Vehicular Networks and Applications (DIVANet’14)
Veranstaltungsort:Montreal, Canada
Veranstaltungsart:internationale Konferenz
Veranstaltungsdatum:21.-26. September 2014
Veranstalter :ACM
HGF - Forschungsbereich:Luftfahrt, Raumfahrt und Verkehr
HGF - Programm:Verkehr
HGF - Programmthema:Verkehrsmanagement (alt)
DLR - Schwerpunkt:Verkehr
DLR - Forschungsgebiet:V VM - Verkehrsmanagement
DLR - Teilgebiet (Projekt, Vorhaben):V - MM2M - Mobilitätsmanagement für Morgen (alt)
Standort: Berlin-Adlershof
Institute & Einrichtungen:Institut für Verkehrssystemtechnik > Verkehrssimulation und -prognose
Hinterlegt von: Krajzewicz, Daniel
Hinterlegt am:14 Okt 2014 14:50
Letzte Änderung:19 Jul 2023 13:04

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