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 News11 hours agoMega-team of heavy horses sets world record at Good Old Days Festival
-
General15 hours agoEnglish springer spaniels Kelly and Milo helping fight dieback in Western Australia
-
General14 hours agoHomicide Squad investigating ‘suspicious’ death of 84yo woman in Sydney suburb of Melonba
-
General4 hours agoHow the internet reacted to Brisbane Broncos winning the NRL grand final