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TRACE-V2X

Financiado

Smart and Proactive Multi-RAT Traffic Steering for V2X

Connected and autonomous vehicles (CAVs) have the potential to provide efficient and sustainable transportation. However, road safety of autonomous driving remains a critical challenge, the lack of which hinders their widespread a... ver más

31/12/2027

ENSEA

138K€

Presupuesto del proyecto: 138K€

Líder del proyecto

ECOLE NATIONALE SUPERIEURE DE LELECTRONIQUE E... No se ha especificado una descripción o un objeto social para esta compañía.

Ver 9 Participantes

Financiación concedida El organismo HORIZON EUROPE notifico la concesión del proyecto el día 2023-10-09

Línea de financiación objetivo El proyecto se financió a través de la siguiente ayuda:

HORIZON-MSCA-2022-SE-01-01: MSCA Staff Exchanges 2022

I+D

Cerrada hace 1 año

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9 Participantes

ENSEA

73.60K€ | Lider

UNIVERSITI TEKNOLOGI MALAYSI...

Lancaster University Leipzig

18.40K€ | Participante

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Últimas noticias

25-11-2024: ECE En las últimas 48 horas el Organismo ECE ha otorgado 52 concesiones

25-11-2024: CMVAMADRID En las últimas 48 horas el Organismo CMVAMADRID ha otorgado 1 concesiones

25-11-2024: FUNDACION-EOI En las últimas 48 horas el Organismo FUNDACION EOI ha otorgado 6 concesiones

Duración del proyecto: 50 meses Fecha Inicio: 2023-10-09
Fecha Fin: 2027-12-31

Presupuesto del proyecto 138K€

Descripción del proyecto Connected and autonomous vehicles (CAVs) have the potential to provide efficient and sustainable transportation. However, road safety of autonomous driving remains a critical challenge, the lack of which hinders their widespread adoption and integration into the transportation system. It is thus pressing to evolve vehicle-to-everything (V2X) communications to provide reliable and secure communications for CAVs to exchange critical information for cooperative decision-making, ensuring the road safety. This project sets an ambitious goal of designing smart and proactive traffic steering across multiple radio access technologies (multi-RAT) in the environment of CAVs. The technical approach is threefold. First, to ensure the reliability of communications, this project unleashes the full potential of massive sensing that involves the collection of vast amounts of data from sensors deployed on vehicles and roadside infrastructure, and then leverage the cooperation perception of environment for situational awareness and ahead-of-time decision-making in V2X. Second, it develops a security and privacy preservation mechanism to protect the integrity and privacy of the highly dynamic vehicular network as well as defending the widely used machine learning process. Finally, relying on the 5G testbed, Open RAN (O-RAN) solution, and other V2X facilities provided by some partners, the final step is to implement and evaluate the performance of developed solutions, which closes the gap between theory and practice. The planned secondments provide partners the opportunity to test their solutions on the infrastructure possessed by other partners.

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