Road traffic management based on self-load-balancing approach

Autor:	Adnane Ahmed, Sadik Mohamed, Talal Saida, Medromi Hicham, Bassir David
Jazyk:	angličtina
Rok vydání:	2016
Předmět:	Congestion detection Traffic management Traffic data optimization Emergent intelligence Density estimation Collective intelligence Industrial engineering. Management engineering T55.4-60.8 Industrial directories T11.95-12.5
Zdroj:	International Journal for Simulation and Multidisciplinary Design Optimization, Vol 7, p A9 (2016)
Druh dokumentu:	article
ISSN:	1779-627X 1779-6288
DOI:	10.1051/smdo/2016008
Popis:	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.
Databáze:	Directory of Open Access Journals
Externí odkaz:	https://doaj.org/article/a5e85518d41941aab257cd1c39a0fc41 Zobrazit plný text záznamu View record in DOAJ