BRICS and Gulf AI reshape mobility and accessibility

Authorities in the Indian state of Rajasthan have launched their first artificial intelligence powered traffic signal at the Fatehpura intersection in Udaipur district. The system continuously analyses vehicle density through high resolution cameras and dynamically adjusts signal phases in real time, unlike conventional fixed timer systems.

During a four month trial, the technology processed data from millions of vehicles. Traffic clearance times now range between 10 and 60 seconds depending on congestion levels, helping to reduce waiting times, fuel consumption and urban emissions.

Beyond traffic flow management, the platform supports enhanced road safety enforcement by detecting violations such as failure to wear helmets or seat belts and enabling automated penalties. Officials are reviewing pilot results as part of wider efforts to modernise transport infrastructure across India.

Similar AI mobility initiatives are advancing across BRICS. In Russia, Moscow has introduced the country’s first autonomous tram carrying passengers as part of its transport strategy to 2030. The tram operates independently, making stops, responding to traffic signals and yielding to pedestrians, and has covered more than 8,000 kilometres in trials since May 2024 without committing offences. Up to 15 autonomous trams are expected to enter service by 2026.

Meanwhile in China, the Xin Hong Zhuan research and training vessel, equipped with domestically developed intelligent navigation systems, has demonstrated autonomous route adjustment and collision avoidance. The vessel recently completed a 30 day, 4,000 nautical mile expedition, testing its performance in complex maritime environments.

UAE advances AI powered accessibility and multilingual inclusion

In the Gulf, Abu Dhabi University in the United Arab Emirates has secured a patent for an artificial intelligence application that translates sign language into text and converts written or spoken language back into animated signing. The system enables real time two way communication, helping people with hearing impairments interact effectively in classrooms, workplaces and public settings.

The platform supports multilingual translation across different sign language systems, addressing cross border communication barriers. It aligns with the UAE’s National Policy for Empowering People of Determination, which aims to reduce inequality and strengthen digital inclusion.

Developed by Associate Professor Modafar Ati from the university’s Department of Computer Science and Information Technology in collaboration with a graduate of its Information Technology programme, the application forms part of the institution’s strategy through to 2027, with a focus on accessibility, innovation and social impact.

Written by:

*Cole Jackson

Lead Associate at BRICS+ Consulting Group

Chinese & South America Specialist

**The Views expressed do not necessarily reflect the views of Independent Media or IOL.

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