Road traffic management based on self-load-balancing approach

Traffic congestion is one of the most challenging problems for nowadays cities. Several contributions mainly based on V2V (Vehicle-to-Vehicle) communication have been published, but most of them have never been applied due to their communication related problems and costs. In this article, a novel c...

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Published inInternational journal for simulation and multidisciplinary design optimization Vol. 7; p. A9
Main Authors Adnane, Ahmed, Sadik, Mohamed, Talal, Saida, Medromi, Hicham, Bassir, David
Format Journal Article
LanguageEnglish
Published Les Ulis EDP Sciences 2016
EDP sciences/NPU (China)
Subjects
Collective intelligence
Communication
Congestion detection
Density estimation
Drivers
Emergent intelligence
Engineering Sciences
Humanities and Social Sciences
Insects
Load balancing
Methods and statistics
Traffic congestion
Traffic data optimization
Traffic management
Online AccessGet full text
ISSN1779-627X
1779-6288
1779-6288
DOI10.1051/smdo/2016008

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Abstract Traffic congestion is one of the most challenging problems for nowadays cities. Several contributions mainly based on V2V (Vehicle-to-Vehicle) communication have been published, but most of them have never been applied due to their communication related problems and costs. In this article, a novel cost-effective approach is introduced inspired by social life of insects where direct (V2V) communication does not exist anymore. Vehicles are equipped with devices that perform simple tasks, but their interactions with the environment through RSUs (Road Side Units) allow the creation of an intelligence which notifies drivers about congested road segments to avoid them. We call this emerging behavior self-load balancing. Description of the fundamentals of this approach and its performance are detailed in this work.
AbstractList Traffic congestion is one of the most challenging problems for nowadays cities. Several contributions mainly based on V2V (Vehicle-to-Vehicle) communication have been published, but most of them have never been applied due to their communication related problems and costs. In this article, a novel cost-effective approach is introduced inspired by social life of insects where direct (V2V) communication does not exist anymore. Vehicles are equipped with devices that perform simple tasks, but their interactions with the environment through RSUs (Road Side Units) allow the creation of an intelligence which notifies drivers about congested road segments to avoid them. We call this emerging behavior self-load balancing. Description of the fundamentals of this approach and its performance are detailed in this work.
Author Bassir, David
Medromi, Hicham
Talal, Saida
Adnane, Ahmed
Sadik, Mohamed
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SubjectTerms Collective intelligence
Communication
Congestion detection
Density estimation
Drivers
Emergent intelligence
Engineering Sciences
Humanities and Social Sciences
Insects
Load balancing
Methods and statistics
Traffic congestion
Traffic data optimization
Traffic management
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Title Road traffic management based on self-load-balancing approach
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