CONDUCTOR | Fleet and traffic management systems for conducting future cooperative mobility

Summary
The CONDUCTOR project’s main goal is to design, integrate and demonstrate advanced, high‐level traffic and fleet management that will allow efficient and globally optimal transport of passengers and goods, while ensuring seamless multi‐modality and interoperability. Using innovative dynamic balancing and priority‐based 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.
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More information & hyperlinks
Web resources: https://cordis.europa.eu/project/id/101077049
Start date: 01-11-2022
End date: 31-10-2025
Total budget - Public funding: 6 136 800,00 Euro - 4 598 550,00 Euro
Cordis data

Original description

The CONDUCTOR project’s main goal is to design, integrate and demonstrate advanced, high‐level traffic and fleet management that will allow efficient and globally optimal transport of passengers and goods, while ensuring seamless multi‐modality and interoperability. Using innovative dynamic balancing and priority‐based 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.

Status

SIGNED

Call topic

HORIZON-CL5-2022-D6-01-04

Update Date

09-02-2023
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Cooperative, connected and automated mobility Partnership (CCAM)
CCAM Partnership Call 2022
HORIZON-CL5-2022-D6-01-04 Integrate CCAM services in fleet and traffic management systems (CCAM Partnership)
Horizon Europe
HORIZON.2 Global Challenges and European Industrial Competitiveness
HORIZON.2.5 Climate, Energy and Mobility
HORIZON.2.5.7 Clean, Safe and Accessible Transport and Mobility
HORIZON-CL5-2022-D6-01
HORIZON-CL5-2022-D6-01-04 Integrate CCAM services in fleet and traffic management systems (CCAM Partnership)
HORIZON.2.5.8 Smart Mobility
HORIZON-CL5-2022-D6-01
HORIZON-CL5-2022-D6-01-04 Integrate CCAM services in fleet and traffic management systems (CCAM Partnership)