Smart system adjusts signals dynamically, aiming to reduce congestion, fuel use and emissions
Authorities in the Indian state of Rajasthan have introduced their first artificial intelligence-powered traffic signal, marking a step towards smarter urban mobility and traffic management, reports News9, a partner of TV BRICS.
The system has been installed at the Fatehpura intersection in Udaipur district, where it has undergone a four-month trial period prior to its official rollout. Unlike conventional signals operating on fixed timers, the new technology continuously analyses traffic conditions and adjusts signal phases in real time.
Using a network of high-resolution cameras, the system monitors vehicle density on each approach to the junction. It then allocates green signals based on traffic volume, allowing more congested lanes to clear faster while minimising unnecessary waiting times on less busy routes. Early observations indicate that traffic clearance times range between 10 and 60 seconds, depending on flow conditions.
Officials report that the system has already processed data from millions of vehicles during the testing phase. The adaptive approach is expected to improve journey efficiency, reduce fuel consumption and lower emissions in urban areas.
In addition to traffic optimisation, the technology supports enhanced road safety enforcement. The system can identify violations such as failure to wear helmets or seat belts and enables automated penalty processing. It also incorporates advanced detection capabilities to flag potential security risks at intersections.
Authorities are currently reviewing the results of the pilot project, with consideration being given to expanding the system to other parts of the state as part of broader efforts to modernise transport infrastructure.
Similar artificial intelligence technologies are being rolled out in the transport sector across several BRICS countries, with projects aimed at optimising traffic flow and improving safety.
Moscow has launched Russia’s first autonomous tram carrying passengers as part of its transport development strategy up to 2030. This vehicle is capable of operating independently: it makes stops, opens and closes doors, obeys traffic signals and gives way to pedestrians. Since May 2024, it has covered more than 8,000 kilometres in trials without committing any offences.
Although an operator remains in the cab for legal reasons, the system is entirely managed by artificial intelligence. It is expected that up to 15 autonomous trams will enter service by 2026. This was reported by the Moscow government’s official website.
Meanwhile, China has launched the “Xin Hong Zhuan”, the first research and training vessel equipped with domestically developed intelligent navigation. The vessel, built by Dalian Maritime University, can navigate autonomously, avoid collisions and adjust its route in real time using six integrated intelligent systems.
According to Xinhua News Agency, a partner of TV BRICS, the vessel undertook a 30-day expedition, covering 4,000 nautical miles and assessing its performance in complex conditions, such as heavy port traffic and narrow channels, thereby consolidating the advancement of artificial intelligence in global transport.
African Times published this article in partnership with International Media Network TV BRICS
