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We've been recording event data from from a fleet of cars for many, many years," said Alwin Bakkenes, head of global software engineering at Volvo Cars. "And all of those data points have actually helped us create safety
Digital twin technology combines data from sensors, simulations, and machine learning to analyse performance, predict failures, and optimise operations by creating a virtual replica of physical system
Cameras using AI technology in Kwun Tong can help monitor traffic, make light adjustments and warn drivers about accidents, force says.
The Future of Urban Mobility With cities expanding at an unprecedented rate, urban transportation networks are facing significant pressure. Traditional systems,
Google partnered with the MTA on a pilot program that involved using sounds recorded on smartphones attached to trains to detect track issues before they occur.
AI is revolutionizing transportation fault detection by enabling real-time monitoring, pattern recognition, and proactive decision-making.
Digital Twin technology creates a virtual representation of physical infrastructure, integrating real-time data from sensors, IoT devices, and geospatial systems to provide a comprehensive model of transportation networks.
From autonomous vehicles and predictive maintenance connectivity and emerging mobility-as-a-service platforms, the industry is evolving at an unprecedented pace.