Russia Debuts AI-Powered ‘Little Lion’ Tram, Aims for 90% Fleet Automation by 2035
▼ Summary
– Moscow has launched Russia’s first autonomous passenger tram, named Lvyonok 71-911EM, using AI and advanced automation systems.
– The tram has undergone over 8,000 km of testing without traffic violations, demonstrating its reliability and safety in navigating streets and handling operations.
– It operates at automation level GoA3 with no driver, though an operator remains onboard for emergencies, using lidars, cameras, and radar sensors for detection.
– Moscow plans to expand the autonomous tram fleet to 15 by 2026 and over 300 by 2030, with a goal of 90% autonomy by 2035, and is also testing autonomous metro trains.
– The development supports Moscow’s smart city vision, aiming to improve efficiency, safety, and sustainability in public transport while aligning with global trends.
Moscow has officially launched Russia’s first autonomous passenger tram, a major leap forward in the nation’s public transportation and smart city development. Known as the Lvyonok 71-911EM, or “Little Lion,” this AI-driven vehicle represents a new era in urban mobility, combining advanced automation with real-world reliability.
The tram operates independently, navigating through city traffic, making scheduled stops, and responding to signals and pedestrians without human input. Since testing began in May 2024, it has covered more than 8,000 kilometers without a single traffic violation, underscoring its safety and operational readiness.
A phased rollout strategy has been adopted to ensure a smooth transition to full autonomy. Initial runs were conducted without passengers and with a safety driver on board. The next stage introduced supervised passenger service. By late 2025, the tram is expected to operate with no driver, though an operator will remain present to monitor safety.
Operating at automation level GoA3, the tram is equipped with an array of sophisticated hardware, including four lidars, six cameras, and three radar sensors. These components work together to detect obstacles, read signals, and assess surroundings under various conditions. The onboard AI, developed by Moscow’s government, handles real-time decision-making, supported by GPS and high-precision mapping for accurate navigation.
Capable of reaching speeds up to 60 km/h, the tram includes emergency braking and other safety features to ensure passenger comfort and security. This initiative is part of a broader strategy to modernize Moscow’s tram network through automation, aiming for greater efficiency and reduced human error.
Expansion plans are already in motion. By the end of 2025, three autonomous trams will be in operation, increasing to 15 the following year. The city aims to equip more than 300 trams with self-driving technology by 2030, with a long-term goal of 90 percent fleet automation by 2035.
Beyond trams, Moscow is also advancing autonomous metro trains, with testing scheduled to begin in December 2025 and full passenger service expected by 2026. These efforts highlight the city’s ambition to become a global leader in smart transportation.
Current Russian law requires an operator to be present in the cabin to oversee non-driving functions and ensure safety during this transitional phase. The technology was developed by the Center for Autonomous Transport Research, a branch of the Moscow Metro, in collaboration with industry leaders such as Nvidia, Huawei, Siemens, and Yandex.
The introduction of AI-powered trams is set to reduce accidents, optimize traffic flow, and provide more reliable service. It also supports broader goals of sustainability and reduced urban congestion. Passengers can experience a smooth, tech-enhanced ride with real-time system performance displayed onboard, fostering trust and transparency in this innovative mode of transport.
(Source: Economy Middle East)
