Project description
Innovative management for increased traffic safety
Digitalisation will connect vehicles between them and with the road infrastructure, improving traffic safety and efficiency. The EU-funded CONDUCTOR project will design, integrate and demonstrate advanced, high‐level traffic and fleet management to allow efficient and globally optimal transport of passengers and goods and ensure seamless multi‐modality and interoperability. The project will build upon advanced fleet and traffic management solutions in the CCAM ecosystem and develop leading-edge simulation models and tools empowered by machine learning and data fusion. CONDUCTOR will upgrade existing technologies increasing the capabilities of transport authorities and operators, allowing a higher level of safety and flexible, responsive, and centralised control leading to less urban traffic and congestion and less pollution.
Objective
The CONDUCTOR projects main goal is to design, integrate and demonstrate advanced, highlevel traffic and fleet management that will allow efficient and globally optimal transport of passengers and goods, while ensuring seamless multimodality and interoperability. Using innovative dynamic balancing and prioritybased management of vehicles (automated and conventional) CONDUCTOR will build upon state-of-the-art fleet and traffic management solutions in the CCAM ecosystem and develop next generation simulation models and tools enabled by machine learning and data fusion, enhancing the capabilities of transport authorities and operators, allowing them to become conductors of future mobility networks. We will upgrade existing technologies to place autonomous vehicles at the centre of future cities, allowing heightened safety and flexible, responsive, centralized control able to conduct traffic and fleets at a high level. These innovations will lead to less urban traffic and congestion, lowered pollution, and a higher quality of life. Project innovations will be integrated into a common, open platform, and validated in three use cases, testing the interoperability of traffic management systems and integration of different transportation means for both people and goods. Use case UC1 integrates traffic management with inter-modality, UC2 tests demand-response transport, and UC3 urban logistics. In each use case and its demonstrations, simulations will be validated through real life data.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
- natural sciencesearth and related environmental sciencesenvironmental sciencespollution
- natural sciencesbiological sciencesecologyecosystems
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Programme(s)
Funding Scheme
HORIZON-IA - HORIZON Innovation ActionsCoordinator
1253 Luxembourg
Luxembourg