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Issue 06 - Safeguarding data privacy on the road

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Issue 06 | Aug 2025

Forging New Frontiers

Civil and Environmental Engineering

Safeguarding data privacy on the road

A new model based on federated learning supports data collaboration between traffic authorities and mobility forms — without compromising privacy.

E

very movement on the road, from sudden braking to avoid a cut-in vehicle to rerouting in response to congestion, generates torrents of data. When aggregated and analysed at scale, these data reveal hidden patterns: how minor disruptions ripple into delays far away, how drivers change

Graphic images in this newsletter were generated using AI and intended only as a visualisation of general concepts or ideas related to the research.


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