IoT data in transportation combined with machine learning and artificial intelligence can help make a supply chain transparent and
Uses of real-time data in the transportation sector, such as driverless cars, traffic management, fleet management, railway administration, and accident prevention.
At the heart of the supply chain digital twin development lies a flexible supply chain simulation model that is data-driven and
Smart cities based on sustainable, resilient infrastructures enable structures, services, and technology frameworks to work together opening up limitless …
Manufacturing, healthcare, transportation, environmental monitoring, and gaming are poised for growth using 5G and edge.
The transportation industry needs new technology, optimized infrastructure, and better data to move towards electric and autonomous
By integrating the 5G and IoT network, it will be feasible for the manufacturers to operate with comprehensive flexibility and move ahead to a dynamic …
5G networks deliver the versatility and flexibility to support millions of IoT devices and sensors in a way that 4G or LTE
Researchers are exploring how perceptive AI might be used to evaluate traffic pattern scenarios and make city driving safer.
The digital transformation of logistics is in its infancy and offers a host of opportunities for further
With predictive intelligence, in-vehicle applications will know about upcoming coverage gaps or connectivity issues before they happen, and be able to take …