Data driven decisions for smarter traffic management

To reach a climate-positive Stockholm by 2040 we need to make transport smarter, more robust, and more sustainable. If we could plan the transportation system in a data-driven way, that would lead to much more attractive public transportation, fewer congestions, and a more sustainable city.

Here real-time data is collected and analyzed through cutting-edge technologies like AI, Edge, Lidar and radar. This provides a better understanding of traffic flows, interlinkages between systems and aims to dynamically adjust traffic lights and speed limits to help ease congestion and reduce emission.

Contact

Lucas Uhlén

lucas.uhlen@kista.com

Partners

Stockholms stad
Fordonsdalen
Region Stockholm
2blox
Edeva
KTH
Ouster
Technolution
Qamcom
RISE
Velodyne (blue city)
Viscando
Xense vision
Zeroparallax
Kista Science City

Downloads

Related links

Geometrik
GEO-based Multi-layer Environmental Modelling of Urban TRaffIC

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