Optimal speed advisory: a vehicular networks application focused on decreasing CO2 emissions

Whilst the number of vehicles moving through the streets growths exponentially, the high density vehicular flow is now a mobility and a public health problem for governmental institutions and people, since the time of travel, gasoline consumption, and greenhouse gas (GHG) emissions have suffered an...

Full description

Autores:
Orozco, Oscar Arley
Llano Ramírez, Gonzalo
Tipo de recurso:
Article of investigation
Fecha de publicación:
2016
Institución:
Universidad ICESI
Repositorio:
Repositorio ICESI
Idioma:
eng
OAI Identifier:
oai:repository.icesi.edu.co:10906/81431
Acceso en línea:
http://hdl.handle.net/10906/81431
https://doi.org/10.1109/TLA.2016.7555240
Palabra clave:
Redes Vehiculares
Plataformas tecnológicas
Redes inalámbricas
Automatización y sistemas de control
Ingeniería de sistemas y comunicaciones
Gases de combustión
Command and control system
Systems engineering
Rights
openAccess
License
https://creativecommons.org/licenses/by-nc-nd/4.0/
Description
Summary:Whilst the number of vehicles moving through the streets growths exponentially, the high density vehicular flow is now a mobility and a public health problem for governmental institutions and people, since the time of travel, gasoline consumption, and greenhouse gas (GHG) emissions have suffered an important increase. Hereby, several research projects aim to reduce the impact of this increase using new technological platforms like the so-called Vehicular Networks (VN), which are focused on the establishment of wireless connections between automobiles and/or fixed infrastructure. In this context, and aiming to reduce the potential carbon footprint of the vehicles, we have developed an application for the simulation of a VN using two software applications: SUMO and OMNeT++. The application we developed sends information packets directly to the cars about the adequate speed in a given area, optimizing the fuel usage and reducing the GHG emissions. Results show that when vehicles follow the speed (previously studied), the gasoline consumption and the GHG emissions present a considerable decrease compared to the vehicles not running at that speed.