Advisory speed estimation for an improved V2X communications awareness in winding roads
Ver/
Compartir
Estadísticas
Ver Estadísticas de usoMetadatos
Mostrar el registro completo del ítemÁrea de conocimiento
Teoría de la Señal y las ComunicacionesPatrocinadores
This work has been supported by the by the projects AIM, ref. TEC2016-76465-C2-1-R (AEI/FEDER, UE), and ATENTO, ref. 20889/PI/18 (Fundación Séneca, Región de Murcia). In particular, Juan Aznar-Poveda thanks the Spanish MECD for an FPI predoctoral fellowship (ref. BES-2017-081061).Fecha de publicación
2020Editorial
IEEECita bibliográfica
AZNAR POVEDA, Juan et al. Advisory Speed Estimation for an Improved V2X Communications Awareness in Winding Roads. En: 2020 22nd International Conference on Transparent Optical Networks (ICTON), 2020, pp. 1-4, doi: 10.1109/ICTON51198.2020.9203478.Palabras clave
Vehicular networksCooperative awareness message
Rate control
Winding and curved roads
Congestion
Awareness
Resumen
The European Telecommunications Standards Institute (ETSI) establishes a Decentralized Congestion Control (DCC) which triggers the so-called Cooperative Awareness Message (CAM) depending on vehicle kinematics. However, this algorithm hence called CAM-DCC represents a challenge in the triggering rules of these messages. In particular, it lacks (i) awareness of the neighboring vehicles and (ii) efficient use of the channel bandwidth. Consequently, information gaps related to the road environment might give rise to non-compliances in the application layer requirements of the vehicles, which could potentially threaten the drivers’ safety, most particularly in hazardous roads. To overcome these flaws, we first study the CAM generation trigger focused on the vehicle heading in risky curves or winding roads. Then, we evaluate both scenarios tuning different triggering thresholds and including additional mechanisms such as the comparison of the current speed respect to the estimated advisory ...
Colecciones
El ítem tiene asociados los siguientes ficheros de licencia:
Redes sociales