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iTWire Monday, 24 May 2021 12:58 AI application predicts traffic conditions in Melbourne Shares A large-scale AI application hosted on Amazon Web Services predicts traffic conditions in Melbourne and aims to reduce delays in hotspots in the city. A world first project launched today seeks to use artificial intelligence (AI) to predict traffic congestion up to three hours ahead, optimising traffic in large cities and improving road safety. Transport engineering expert and AIMES director professor Majid Sarvi says the application can also optimise traffic signals for on-road vehicles, freight, and public transport such as buses and trams. “The application observes the nature of traffic and figures out complex traffic patterns across the network through machine learning built into the technology”, Sarvi says.

Majid sarviOmid ejtemaiBen carrollAmazon web servicesUniversity of melbourneUniversity of melbourne australian integrated multimodal ecosystemAustralian integrated multimodal ecosystemPeakhour urban technologiesVictorian departmentமஜித் சருவிபென் கரோல்அமேசான் வலை சேவைகள்பல்கலைக்கழகம் ஆஃப் மெல்போர்ன்ஆஸ்திரேலிய ஒருங்கிணைந்த மல்டிமோடல் சுற்றுச்சூழல் அமைப்புவிக்டோரியன் துறை