On British motorways, in the new digital system, machine learning and artificial intelligence will also be able to help passengers with additional traffic data.
The National Traffic Information Service (NTIS), which is responsible for traffic information, has reported the introduction of new developments aimed at providing drivers on highways and key routes with consistent and reliable information from now on.
Even more accurate data sets make the work of both National Highways (NH) specialists and emergency responders more efficient and ensure traffic flow.
Travelers can plan their trip more easily than before and avoid delays better. The latest data sent to the cloud infrastructure is also disseminated to networked electronic boards and digital platforms for travel planning.
The organization will, of course, also share any up-to-date information with commuters, such as scheduled work, delays, or other events that cause congestion.
Digital Roads Strategy
NH’s director of customer service, Melanie Clarke, said of the project: a strategy to digitize transport by 2025 envisions safer, greener roads. Digitalisation, as well as electric, grid-connected and driverless cars, will fundamentally change the design, construction, operation and use of transport road networks in the future.
In addition to these benefits, the new system also supports the creation of a digital twin representation of the strategic road network. The technology is used to machine-map local highways and major roads and then determine their exact condition 24 hours in advance using machine learning (ML) and artificial intelligence (AI).
All this reduces the impact of both planned (eg sports events, road construction) and unexpected events (accidents) by increasing the management of the road network through increasing automation and positively changing the planning of trips - writes iotzona.hu.
(Source: autokalauz.co.hu; iotzona.hu | Image: pixabay.com)