Reference : Improving Highway Traffic through Partial Velocity Synchronization

	Document type :	Scientific congresses, symposiums and conference proceedings : Paper published in a book
	Discipline(s) :	Engineering, computing & technology : Computer science
	To cite this reference:	http://hdl.handle.net/10993/3496

Title :	Improving Highway Traffic through 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) > >]
	Gerla, Mario [Dpt. of Computer Science, UCLA, CA 90095, USA]
	Engel, Thomas [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC) >]
Publication date :	2012
Main document title :	Proceedings of the IEEE Global Communications Conference 2012
Pages :	5795-5800
Peer reviewed :	Yes
ISBN :	978-1-4673-0919-6
Event name :	IEEE Global Communications Conference (GLOBECOM'12)
Event date :	3-7 December 2012
Event place (city) :	Anaheim
Event country :	CA
Keywords :	[en] Traffic Modeling ; Congested Flow ; Cellular Automaton ; Vehicular Ad Hoc Networks
Abstract :	[en] In this paper we address the problem of uncoor- dinated highway traffic. We first identify the main causes of the capacity drop, namely high traffic demand and inadequate driver reaction. In the past, traffic and user behavior have been accurately described by cellular automata (CA) models. In this paper we extend the CA model to deal with highway traffic fluctuations and jams. Specifically, the model incorporates the communication layer between vehicles. The model thus enables us to study the impact of inter-vehicular communications and in particular the delivery of critical and timely upstream traffic information on driver reaction. Based on the newly-available traffic metrics, we propose an Advanced Driver Assistance System (ADAS) that suggests non-intuitive speed reduction in order to avoid the formation of so-called phantom jams. The results show that using such a system considerably increases the overall traffic flow, reduces travel time and avoids unnecessary slow-downs.
Permalink :	http://hdl.handle.net/10993/3496

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