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Ai-aided deCision tool for seamless mUltiModal nEtwork and traffic managemeNt

Descripción del proyecto

Una solución para la movilidad urbana basada en datos

En los paisajes urbanos actuales, cada vez más congestionados, el transporte eficiente se ha convertido en un reto acuciante. Los atascos, los problemas de seguridad y las cuestiones medioambientales exigen soluciones innovadoras. En este contexto, el equipo del proyecto ACUMEN propone un paradigma digital de vanguardia, que preserva la privacidad y se basa en los datos, destinado a racionalizar la gestión de la red. ¿Su objetivo? Permitir desplazamientos puerta a puerta sin interrupciones, mejorar la seguridad y la resiliencia de la red y contribuir significativamente a los objetivos de transporte esbozados en el Pacto Verde Europeo. En el núcleo de ACUMEN se encuentra el concepto de gemelo digital modular y multicapa. Esa representación de alta fidelidad de sistemas complejos del mundo real crea una versión digitalizada de la movilidad urbana sostenible y conectada. ACUMEN, complementado por módulos enchufables o herramientas digitales, aprovecha el poder de la inteligencia artificial para apoyar la gestión de la movilidad y la toma de decisiones.

Objetivo

Ai-aided deCision tool for seamless mUltiModal nEtwork and traffic managemeNt (ACUMEN) proposes a generic, privacy-preserving, data-driven modular digital paradigm for advanced network management, which aims at enabling efficient and reliable door-to-door journeys for people and goods, increased safety and resilience at the network level, and to make a critical contribution to achieving the transport goals set forth in the green deal. The main concept developed in ACUMEN is a modular, multi-layered Digital Twin (DT), a high-fidelity representation of integrated and interacting real complex systems, ultimately forming a digitised version of seamless and sustainable, connected urban mobility. This is complemented by plug-in modules, or digital tools, which represent the outcomes of the models (physics-based or data-driven based), data (including that generated via AI/ML approaches using said models), and simulation tools at the disposal of a city/road authority/mobility service provider. AI-powered digital tools supporting mobility management and decision-making, exploiting the modular DT architecture, will be developed by leading academic and research partners, in close cooperation with global industry partners and stakeholders. The DT platform will be demonstrated and validated through a set of comprehensive and carefully selected use cases, co-created with stakeholders, involving different scales and urban forms, to challenge the capabilities of ACUMEN with a diverse range of transport management problems and applications. The ACUMEN consortium (6 Universities - one is the Coordinator, 6 Industrial partners, 2 RTOs , 3 stakeholders) has been formed to address a combination of technical and implementation challenges to develop and successfully launch ACUMEN as a solution for policy makers and stakeholders in transport.

Coordinador

AALTO KORKEAKOULUSAATIO SR
Aportación neta de la UEn
€ 608 255,00
Dirección
OTAKAARI 1
02150 Espoo
Finlandia

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Región
Manner-Suomi Helsinki-Uusimaa Helsinki-Uusimaa
Tipo de actividad
Higher or Secondary Education Establishments
Enlaces
Coste total
€ 608 255,00

Participantes (18)

Socios (2)