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Memorias de investigación
Artículos en revistas:
Application of vehicle to another entity (V2X) communications for motorcycle crash avoidance
Año:2016
Áreas de investigación
  • Ingenierías,
  • Vehículos inteligentes,
  • Vehículo de dos ruedas
Datos
Descripción
Information and communication technologies are being massively applied in the automotive field as the basis of the new generation of active safety systems. In this extensive field of technologies, vehic- ular communications will constitute the core of a large set of advanced driving assistance systems for improving road safety as well as helping to reduce the environmental impact of transport. These com- munication technologies are currently under deployment, but their mandatory installation in newly manufactured cars is foreseen in the next 5 years. This equipment will enable the new Advanced Driver Assistance Systems (ADAS) system to be installed in these vehicles. Many of these safety appli- cations are currently under development. However, there are some road users who are not com- monly included in this vehicular communication ecosystem, specifically, vulnerable road users, such as pedestrians, cyclists, and motorcyclists. Current assistance systems focused on reducing crashes with this user group are based on sensors installed in the vehicles but do not include vehicular com- munications. In this article, we present a novel Vulnerable Road User (VRU) warning system based on Vehicle-to-Vehicle (V2V) communications, which is capable of detecting a motorcycle circulating in the vicinity of the connected vehicles, launching sound and visual warnings, and using a smartphone as human-machine interface. The system has been designed, implemented, and tested in the labora- tory as well as on real roads in real traffic flow.
Internacional
Si
JCR del ISI
No
Título de la revista
Journal of Intelligent Transportation Systems
ISSN
Factor de impacto JCR
Información de impacto
Volumen
DOI
10.1080/15472450.2016.1247703
Número de revista
Desde la página
1
Hasta la página
11
Mes
SIN MES
Ranking
Esta actividad pertenece a memorias de investigación
Participantes
  • Autor: Jose Javier Anaya Catalan (UPM)
Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Departamento: Inteligencia Artificial
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