Reference : A Study on Highway Traffic Flow Optimization using Partial Velocity Synchronization

	Document type :	Scientific congresses, symposiums and conference proceedings : Paper published in a journal
	Discipline(s) :	Engineering, computing & technology : Computer science
	To cite this reference:	http://hdl.handle.net/10993/4560

Title :	A Study on Highway Traffic Flow Optimization using Partial Velocity Synchronization
Language :	English
Author, co-author :	Forster, Markus [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
	Frank, Raphaël [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
	Engel, Thomas [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC) >]
Publication date :	2013
Journal title :	Proceedings of the 1st GI/ITG KuVS Fachgespräch Inter-Vehicle Communication (FG-IVC 2013) Technical Report CCS-2013-01
Publisher :	Christoph Sommer, Björn Scheuermann, Tessa Tielert, Björn Schünemann
Pages :	19-22
Event name :	1st GI/ITG KuVS Fachgespräch Inter-Vehicle Communication (FG-IVC 2013)
Event date :	January 2013
Event place (city) :	University of Innsbruck, Institute of Computer Science
Event country :	Austria
Keywords :	[en] Traffic Modeling ; Congested Flow ; Cellular Automaton ; Vehicular Ad Hoc Networks
Abstract :	[en] In this paper we present a study of highway traffic flow optimization using Partial Velocity Synchronization (PVS). PVS is a Cellular Automaton (CA) model that is extended by a communication layer providing the ability to exchange relevant information between vehicles. We show that it is possible to enhance traffic flow on highways significantly with a small number of velocity recommendations computed from the traffic conditions ahead. Furthermore we show that only a limited number of hops in an information chain is necessary to reschedule the vehicles on a given highway segment to avoid the formation of shockwaves. Our results show that traffic flow will be increased while travel time and emissions will be reduced dramatically.
Permalink :	http://hdl.handle.net/10993/4560

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