Reference : Community-based vehicular networks for traffic information systems
Dissertations and theses : Doctoral thesis
Engineering, computing & technology : Computer science
http://hdl.handle.net/10993/21796
Community-based vehicular networks for traffic information systems
English
Grzybek, Agata mailto [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC) >]
27-Jul-2015
University of Luxembourg, ​Luxembourg, ​​Luxembourg
Docteur en Informatique
194
Bouvry, Pascal mailto
Zampunieris, Denis mailto
Szczypiorski, Krzystof mailto
Danoy, Grégoire mailto
Seredynski, Marcin mailto
[en] Vehicular Networks ; Traffic Information Systems ; Community Detection
[en] Traffic information systems (TIS) monitor road traffic conditions with the goal of improving the efficiency of road networks. Given the ever increasing number of cars, TIS are becoming more critical, as they help reduce traffic congestion which have large negative social, economical, and environmental impact.

Current TIS have several drawbacks. First, there are insufficient sources of traffic data, that often require either expensive sensing infrastructure or a contract with a network provider owning GPS data. Secondly, they are often limited by a centralised architecture introducing both delays in delivery of real-time data and a single-point of failure. Finally, even after collecting traffic information, they provide no easy way to effectively relay information to drivers or apply traffic management strategies.

New vehicle-to-vehicle (V2V) communication technologies can potentially aid in overcoming these limitations. Using V2V, vehicles can communicate with each other and exchange traffic information within an ad hoc vehicular network (VANET). VANETs could drastically change the nature of traffic systems, moving from a centrally-controlled to a self-organised complex system covering every road segment.This thesis studies the potential of VANETs in the context of traffic data collection and traffic management using a multidisciplinary approach. We combine knowledge of networking protocols, distributed systems, and traffic theory to propose novel solutions for TIS.

First, we propose a TrafficEQ system---a VANET-based TIS, that uses pure V2V communication to collect and disseminate traffic information among vehicles. Moreover, TrafficEQ provides intelligent route guidance based on a probabilistic route choice strategy. The system is evaluated using a simulation platform developed with realistic real-world scenarios. We demonstrate that TrafficEQ deals with challenging non-predictable traffic congestion better than traditional route guidance systems can. Secondly, we propose grouping vehicles into communities by similarity of their mobility patterns to improve traffic congestion detection and analysis. To facilitate this, we present the Crowdz algorithm---a community detection algorithm for VANETs. Extensive analysis on large-scale vehicular networks show that detected communities are more stable than those in a competitive algorithm. Lastly, we introduce an application which uses communities to detect and analyse traffic congestion. Simulation experiments show that identification of congested communities can help in applying appropriate control strategies.
Fonds National de la Recherche - FnR
Researchers ; Students
http://hdl.handle.net/10993/21796

File(s) associated to this reference

Fulltext file(s):

FileCommentaryVersionSizeAccess
Limited access
thesis_final_print.pdfAuthor postprint14.45 MBRequest a copy

Bookmark and Share SFX Query

All documents in ORBilu are protected by a user license.