Technology
NSW Transport and Microsoft use machine learning and data to reduce road accidents – ZDNet
The pair ran a trial to identify five potentially risky intersections.
Transport for New South Wales and Microsoft have partnered to develop a proof of concept that uses data and machine learning to flag potentially dangerous intersections and reduce road accidents.
As part of the proof of concept, Transport for NSW ran a trial in Wollongong to uncover five potentially risky intersections. It involved 50 vehicles generating more than a billion rows of data over a 10-month period, before Databricks and Azure were used to curate, ingest, and interpret the data.
The…
-
Noosa News21 hours agoA World-Premiere Exhibition Dedicated to Crocodiles Is Snapping Its Way Into Queensland Museum Kurilpa, Then Touring Nationally
-
Noosa News19 hours agoWhales return to Noosa as shark nets spark controversy
-
Noosa News11 hours agoBlute’s Bar Is Picking Up Where The Bearded Lady Left Off, Adding Live Music to Its Late-Night Karaoke Sing-Alongs
-
Noosa News22 hours agoResearchers uncover spike in potentially fatal ‘rat lungworm disease’