Descripción del proyecto
Sistema vehicular autónomo con inteligencia artificial para el transporte inteligente
Los sistemas de transporte inteligentes (STI) son fundamentales para los sistemas de transporte. Sin embargo, no cumplen los requisitos de las aplicaciones de misión crítica de nueva aparición de una fiabilidad ultraalta y una baja latencia debido a sus entornos operativos complejos y dinámicos. En el proyecto ASCENT, financiado con fondos europeos, se creará un novedoso sistema vehicular autónomo de redes y computación periférica con inteligencia artificial (IA) para unos STI fiables y eficientes. Su equipo llevará a cabo investigaciones e innovaciones pioneras sobre una arquitectura de sistema novedosa y escalable, lo que permitirá una prestación de servicios de STI ágil y fiable, así como un marco de IA distribuido original impulsado por métodos de aprendizaje profundo. En ASCENT se desarrollarán tanto herramientas analíticas innovadoras para predecir con precisión el estado dinámico de la red como planes de gestión de recursos autónomos e inteligentes para respaldar los servicios de misión crítica.
Objetivo
Intelligent Transportation Systems (ITS) are vital for enhancing road safety, alleviating traffic congestion, and saving energy in transport. However, due to the complex and dynamic operating environments of ITS including fast-moving vehicles, fluctuating vehicular communications, and scarce computing resources, ITS face unprecedented challenges in meeting the stringent service requirements in terms of ultra-high reliability and low-latency, demanded by the emerging mission-critical applications (e.g. autonomous driving and real-time intelligent traffic control).
To address these challenges, ASCENT aims to form an international, multidisciplinary, and inter-sectoral consortium with world-leading experts to create a novel Autonomous Vehicular Edge Computing and Networking system empowered by advanced Artificial Intelligence (AI) technologies towards achieving reliable and efficient ITS. Specifically, ASCENT will pioneer research and innovations (R&I) on ground-breaking technologies including: 1) a novel and scalable system architecture that enables agile and reliable ITS service provisioning; 2) an original distributed AI framework fuelled by bespoke federated deep learning methods to offer pervasive intelligence; 3) innovative analytics tools to accurately predict dynamic network status including network traffic and channel quality; 4) autonomous and smart resource management schemes to support mission-critical ITS services.
ASCENT will boost the R&I capability of partners in multiple disciplines and create a long-term cross-discipline and cross-sector knowledge-sharing platform with complementary expertise. The researchers involved will be trained through extensive R&I actions and well-planned networking activities to enrich their skill sets as well as enhance their career perspectives. The outcomes of ASCENT will significantly contribute to enhance the EU’s competitiveness and transforming our transportation systems into safer, smarter, and greener future ITS.
Ámbito científico
Palabras clave
Programa(s)
- HORIZON.1.2 - Marie Skłodowska-Curie Actions (MSCA) Main Programme
Régimen de financiación
HORIZON-TMA-MSCA-SE - HORIZON TMA MSCA Staff ExchangesCoordinador
100 44 Stockholm
Suecia