Beyond Smart Junctions
Lead Participant:
CITY SCIENCE CORPORATION LIMITED
Abstract
As cities and regions seek to decarbonise, shifting away from cars presents a major challenge.
In recent years there have been significant advances in the availability of real-time multi-modal data driven by Computer Vision solutions. However, despite access to multi-modal data, traffic network operations in cities are still heavily focused on the flow of cars.
Our project develops a next-generation ITS/Network Management system to deliver integrated insights and coordination across all modes of transport including cycling, walking and bus.
In recent years there have been significant advances in the availability of real-time multi-modal data driven by Computer Vision solutions. However, despite access to multi-modal data, traffic network operations in cities are still heavily focused on the flow of cars.
Our project develops a next-generation ITS/Network Management system to deliver integrated insights and coordination across all modes of transport including cycling, walking and bus.
Lead Participant | Project Cost | Grant Offer |
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CITY SCIENCE CORPORATION LIMITED | £714,025 | £ 499,818 |
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Participant |
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INNOVATE UK |
People |
ORCID iD |
Aidan Bennett (Project Manager) |