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Position-based Vehicular Communication for Intelligent Transport Systems

Nestor Mariyasagayam 1
1 HIPERCOM - High performance communication
Inria Paris-Rocquencourt, UP11 - Université Paris-Sud - Paris 11, Inria Saclay - Ile de France, X - École polytechnique, CNRS - Centre National de la Recherche Scientifique : UMR
Abstract : From the bullock carts of the world's earliest civilizations to the SUVs of the present, human dependence on vehicles for transportation remains unavoidable. The rapid growth of transportation facilities today, coupled with an ever-increasing human desire to travel quicker, lead to many serious transportation problems: accidents, pollution and traffic-jams. In an effort to alleviate these problems, various approaches to support the underlying transport system have been proposed. Outcomes of the effort exist in the form of: variable message sign - displaying traffic situation to the drivers on highway, speed bumps - preventing accidents by cutting down the high-speed drivers in urban areas, and randomly forbidding odd or even license-plated cars to enter city centres on a highly polluted day in order to control pollution. In the latter part of the twentieth century, efforts to introduce intelligence into transportation systems, were considered one of the prime factors for sustainability of the existing transport infrastructure. Initially, the efforts were restricted to manual surveillance level - using cameras and informing users via message signs about traffic incidents. Eventually, with the advent of wireless communication, research on leveraging wireless communication between vehicles began. By enabling vehicles to detect and communicate, about traffic incidents, with other vehicles, a geographically localized and de-centralized awareness about traffic situation can be achieved and is therefore an important factor for the deployment of a large-scale Intelligent Transport System (ITS). The prime challenge today is to enable efficient and reliable communication among vehicles, in order to reduce, if not entirely remove, the aforementioned problems: accidents - through active safety; pollution and traffic-jams - through fluid traffic flow and by guiding transport users to take routes that save cost and emission. The purpose of this manuscript is to provide a component for realizing the deployment of largescale ITS: communication between moving vehicles on land. More specifically, this manuscript is dedicated to the development of a broadcast algorithm "Multi-Hop Vehicular Broadcast" (MHVB), using location information of vehicles.
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Contributor : Marie Nestor Damian Mariyasagayam <>
Submitted on : Wednesday, August 3, 2011 - 11:19:25 AM
Last modification on : Wednesday, October 14, 2020 - 3:57:09 AM
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Nestor Mariyasagayam. Position-based Vehicular Communication for Intelligent Transport Systems. Computer Science [cs]. Ecole Polytechnique X, 2011. English. ⟨tel-00613174⟩

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