MYSEC.TV

Home   /   RESOURCES   /   MYSEC.TV   / AI to predict traffic congestion up to three hours ahead

AI to predict traffic congestion up to three hours ahead

Tech & Sec Weekly
SHARE:

IN THIS VIDEO

We speak with Omid Ejtemai, CEO of PeakHour Urban Technologies.

In a world first project seeking to use artificial intelligence (AI) to predict traffic congestion up to three hours ahead, optimising traffic in large cities and improving road safety as part of the University’s smart cities ecosystem.

University of Melbourne’s Australian Integrated Multimodal EcoSystem (AIMES) brought together PeakHour Urban Technologies, the Victorian Department of Transport, and Telstra to create a large-scale AI application hosted on Amazon Web Services (AWS), which can predict traffic conditions across Melbourne.

Further reading here https://smartcitiestech.io/2021/05/ai…

#mysecuritytv #artificalintelligence #AI#smartcities #trafficcongestion

OTHER VIDEOS IN THIS SERIES

sp1
July 26, 2024
We speak with Katherine Bennell-Pegg, Australian Astronaut, Australian Space Agency in Adelaide for The Andy Thomas Space Foundation’s Australian Space Forum. Watch Now
space1107
July 11, 2024
The Australian Centre for Space Engineering Research (ACSER) held the CubeSatPlus2024 Innovation and Development Workshop at UNSW Sydney’s Kensington Campus on 9 – 10 July. Watch Now
tv1
July 8, 2024
Prior to Joining Seaco as CIO, Damian held the position of Chief Technology Officer for Workday Asia Pacific and Japan. Watch Now
space0724
July 3, 2024
We speak with Professor Melissa de Zwart, Professor Space Law and Governance, Andy Thomas Centre for Space Resources, Deputy Director, ARC Centre of Excellence in Plants 4 Space, University of Adelaide. Watch Now