Fujitsu's AI system could revolutionise Japan's public transport by 2026
Fujitsu has developed an AI-powered system to simulate public transport networks across Japan. The technology, designed to optimise both fixed-route and on-demand services, will be commercialised by fiscal year 2026. It aims to address pressing issues like driver shortages, demographic shifts, and the push for carbon-neutral mobility solutions. The system relies on Fujitsu's social digital twin technology, which models human behaviour and social dynamics. It processes widely available statistical data alongside ridership figures from Mobility-as-a-Service (MaaS) apps to create accurate simulations. The goal is to refine urban planning and community development through data-driven insights.
Maebashi City became the first in Japan to adopt the system for its regional transport plan. Officials there face challenges such as an ageing population, varied mobility needs, and a lack of bus drivers. The simulation results have already been integrated into the city's public transport strategy. Fujitsu intends to expand the system's use nationwide. By training it with extensive mobility data, the company hopes to establish it as a standard tool for local governments and transport operators. Collaborations with regional partners will further support efforts to optimise transport networks across Japan.
The system is set for commercial release by 2026, with Maebashi City as its first confirmed user. Its adoption could help cities tackle transport inefficiencies while meeting carbon neutrality targets. Fujitsu's technology may soon become a key resource for planners and operators working to modernise Japan's public transport infrastructure.
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