Reference : Improving Traffic in Urban Environments applying the Wardrop Equilibrium

	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/10993/9989

Title :	Improving Traffic in Urban Environments applying the Wardrop Equilibrium
Language :	English
Author, co-author :	Codeca, Lara [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 :	7-Oct-2013
Main document title :	Improving Traffic in Urban Environments applying the Wardrop Equilibrium
Peer reviewed :	Yes
On invitation :	No
Audience :	International
Event name :	2nd International Workshop on Vehicular Communications and Applications (VCA 2013)
Event date :	7-10-2013
Keywords :	[en] Intelligent Transportation Systems ; Urban Traffic ; Traffic Flow Optimization
Abstract :	[en] Over the last few years vehicular traffic density has continuously increased and it is likely that the traffic demand will further increase in the future. In many metropolitan areas the road infrastructure is no longer able to handle the peak traffic demand and the existing road network cannot be easily extended. The best way to improve the traffic situation is to optimise the resources available in the transportation network and to coordinate the traffic demand. The approach that we propose in this paper makes use of a collaborative traffic coordination protocol which collects real-time Floating Car Data (FCD) directly from participating vehicles and suggests dynamic routes in order to minimize travel delay. Information such as speed, position and direction is sent to one or more Traffic Coordination Points (TCPs) where it is aggregated to obtain a global picture of the traffic conditions in real-time. Based on this data, we continuously compute the route that minimizes the travel time to a given destination by applying Wardrop’s first principle of equilibrium. Our results show that, by coordinating the vehicles, we are able to better distribute the overall traffic demand throughout the transportation network, reducing the average travel times and accommodating more vehicles.
Research centres :	Interdisciplinary Centre for Security, Reliability and Trust
Funders :	Fonds National de la Recherche - FnR
Target :	Researchers ; Professionals ; Students
Permalink :	http://hdl.handle.net/10993/9989

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