Real-Time Urban Mobility Management via Intelligent UAV-based Sensing
URANUS aims to enhance urban mobility management through real-time UAV-based traffic sensing, enabling intelligent monitoring and control of vehicular and pedestrian traffic.
Projectdetails
Introduction
Inefficient management of urban mobility leads to congestion with several socioeconomic and environmental adverse effects. Despite numerous research efforts and deployed technological solutions to address congestion, the problem still persists. One of the main reasons is attributed to the sparsity and low quality of traffic data.
UAV Technology
Unmanned Aerial Vehicles (UAVs) are an emerging, non-invasive, vision-based traffic sensing technology that offers economic viability and fast deployment. UAVs can swiftly and controllably move over disperse locations to capture road traffic data and simultaneously measure multiple traffic parameters.
Current Limitations
Despite these advantages, their applicability has so far been limited to occasional surveillance of road networks for live video monitoring or the extraction of historical traffic data.
Project Overview
URANUS proposes real-time, dynamic, and continuous UAV-based sensing of vehicular and pedestrian traffic and the use of the collected information for urban mobility (UM) management. The envisioned paradigm features:
- Intelligent spatiotemporal sampling from UAVs
- The generation of complete spatiotemporal measurement sets with quantified uncertainty
- The development of suitable methodologies to 'close the loop', by jointly controlling the urban mobility (UM) and UAV networks for enhanced UM performance
- The strategic selection of measured parameters
Framework Design
In this context, URANUS will design a solid framework for real-time urban mobility management targeting both vehicular and pedestrian traffic. The developed framework will include:
- UM monitoring
- UM control
- UAV operational planning methodologies
This will exploit the unique URANUS sensing characteristics.
Expected Outcomes
Success of this project will transform our understanding of joint optimization between sensing, monitoring, and control, not only in UM management but also in other UAV-centric fields such as air pollution monitoring.
Financiële details & Tijdlijn
Financiële details
Subsidiebedrag | € 1.999.938 |
Totale projectbegroting | € 1.999.938 |
Tijdlijn
Startdatum | 1-7-2023 |
Einddatum | 30-6-2028 |
Subsidiejaar | 2023 |
Partners & Locaties
Projectpartners
- UNIVERSITY OF CYPRUSpenvoerder
Land(en)
Vergelijkbare projecten binnen European Research Council
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---|---|---|---|---|
High-fidelity Collaborative Perception for Small Unmanned Aerial VehiclesSkEyes aims to enhance UAV swarm autonomy and perception by integrating diverse sensors for effective navigation in challenging environments, enabling timely responses to critical situations. | ERC Consolid... | € 2.346.219 | 2023 | Details |
Exposing Spatio-Temporal structures of turbulence in the Atmospheric Boundary Layer with In-Situ measurements by a fleet of Unmanned Aerial SystemsThe ESTABLIS-UAS project aims to enhance understanding of atmospheric boundary layer turbulence using a fleet of unmanned aerial systems for improved weather prediction in complex terrains. | ERC Starting... | € 1.479.205 | 2022 | Details |
Choice, necessity or chance? Understanding behaviouR chanGE iN TransportURGENT aims to enhance understanding of mobility behavior change through interdisciplinary analysis of individual and contextual factors, using longitudinal data to inform effective transport intervention strategies. | ERC Consolid... | € 1.936.613 | 2022 | Details |
Data Aware efficient models of the urbaN microclimaTEDANTE aims to develop fast, reliable urban microclimate simulation methods using machine learning and model order reduction to support sustainable city planning by 2050. | ERC Starting... | € 1.450.560 | 2024 | Details |
SUrrogate measures for SAFE autonomous and connected mobilitySUperSAFE aims to develop a proactive safety evaluation method for the interaction between conventional and connected automated vehicles to enhance traffic safety and support European zero-fatality goals. | ERC Starting... | € 1.500.000 | 2023 | Details |
High-fidelity Collaborative Perception for Small Unmanned Aerial Vehicles
SkEyes aims to enhance UAV swarm autonomy and perception by integrating diverse sensors for effective navigation in challenging environments, enabling timely responses to critical situations.
Exposing Spatio-Temporal structures of turbulence in the Atmospheric Boundary Layer with In-Situ measurements by a fleet of Unmanned Aerial Systems
The ESTABLIS-UAS project aims to enhance understanding of atmospheric boundary layer turbulence using a fleet of unmanned aerial systems for improved weather prediction in complex terrains.
Choice, necessity or chance? Understanding behaviouR chanGE iN Transport
URGENT aims to enhance understanding of mobility behavior change through interdisciplinary analysis of individual and contextual factors, using longitudinal data to inform effective transport intervention strategies.
Data Aware efficient models of the urbaN microclimaTE
DANTE aims to develop fast, reliable urban microclimate simulation methods using machine learning and model order reduction to support sustainable city planning by 2050.
SUrrogate measures for SAFE autonomous and connected mobility
SUperSAFE aims to develop a proactive safety evaluation method for the interaction between conventional and connected automated vehicles to enhance traffic safety and support European zero-fatality goals.
Vergelijkbare projecten uit andere regelingen
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Detect and Avoid air traffic for Drones (DAD)Het project ontwikkelt een Detect and Avoid air traffic software voor drones om veilige autonome BVLOS-vluchten mogelijk te maken in gedeeld luchtruim met bemande luchtvaart. | Mkb-innovati... | € 20.000 | 2021 | Details |
USCHet project onderzoekt de haalbaarheid van geautomatiseerde onbemande luchtvaartoperaties en nieuwe dienstenconcepten binnen Europese regelgeving voor toekomstige marktcombinaties. | Mkb-innovati... | € 20.000 | 2023 | Details |
Ultra low cost, fixed wing UAV for meshed networking communication and RAM localisation
Ontwikkeling van een draadloos communicatie- en detectiesysteem met UAV's voor snelle inzet in rampgebieden, gericht op het verbeteren van informatie-uitwisseling en RAM-signatuurdetectie.
BUSINESS MODEL REAL-TIME VOORSPELINFORMATIE IN STEDELIJK VERKEERSMANAGEMENT
DAT.Mobility BV onderzoekt de haalbaarheid en waarde van real-time voorspellingsinformatie voor stedelijk verkeersmanagement om congestie te verminderen en doorstroming te optimaliseren.
Betrouwbaardere en nauwkeurigere verkeersmodellen met big data
Mezuro B.V. en DAT.Mobility B.V. ontwikkelen innovatieve data-analyse technieken voor nauwkeurige verkeersmodellen, gericht op het verbeteren van verkeersmanagement en smart mobility.
Detect and Avoid air traffic for Drones (DAD)
Het project ontwikkelt een Detect and Avoid air traffic software voor drones om veilige autonome BVLOS-vluchten mogelijk te maken in gedeeld luchtruim met bemande luchtvaart.
USC
Het project onderzoekt de haalbaarheid van geautomatiseerde onbemande luchtvaartoperaties en nieuwe dienstenconcepten binnen Europese regelgeving voor toekomstige marktcombinaties.