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AI can improve rail transportation by providing features such as ticket-free check-in, accurate arrival-time predictions, personalised infotainment and onboard services, real-time track health diagnostics, and speedy emergency response.
Artificial intelligence (AI)-powered systems and apps are improving efficiency and safety in a variety of industries, including the railway.
The intelligent platform is used in one application to process acquired photographs of crucial roadside equipment in real time on special rail inspection trains.
The rail sector has long been in need of modernization, notably in the area of autonomous operation, which is now achievable thanks to artificial intelligence. The rail sector must include AI into its modernisation to improve areas of operation in order to compete with the shift to autonomous cars in road transportation of both cargo and people.
The nature of rivalry and the desire for expansion, on the other hand, makes AI as appealing to the railways as it is to any other industry.
AI-adopting companies should expect increased revenue, including AI-driven revenue gains, as well as lower costs.
AI has the potential to increase the railways’ bottom line significantly. Other complementing trends and characteristics, on the other hand, make AI adoption ideal for railways.
The Global Railway AI Market accounted for $XX Billion in 2021 and is anticipated to reach $XX Billion by 2027, registering a CAGR of XX% from 2022 to 2027.
The AVA-RAGX AI-enabled video analytics platform from ADLINK was launched with the goal of addressing next-generation railway applications such as passenger security, danger identification, and railroad incursion detection.
Sberbank and Cognitive Technologies Group’s autonomous driving joint venture, Cognitive Pilot, has earned the Eurasian Economic Union’s Declaration of Conformity to Technical Regulations for their Cognitive Rail Pilot AI-based shunting locomotive driver aid system.
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