
KDDI and Michinori Holdings will test AI that optimizes communication for autonomous buses.
The trial starts September 2026 in Hitachi.
It aims to improve 5G reliability and reduce monitoring workload.
What happened
KDDI and Michinori Holdings will run a trial using AI to autonomously optimize communication quality for autonomous buses. The trial starts September 1, 2026 in Hitachi City, Ibaraki Prefecture.
Why it matters
Stable communication is essential for remote monitoring of autonomous vehicles, but building new infrastructure is costly and time-consuming. The trial uses multiple AIs to optimize base station parameters, aiming to improve 5G connectivity and reduce operational workload.
What to watch
The trial will validate whether AI-based RAN parameter optimization (adjusting base station radio settings) improves communication quality and cuts network design and adjustment work. It is part of a government-approved project supporting Level 4 autonomous driving.
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This trial builds on KDDI's broader rollout of AI-based network optimization technology, which the company and its research institute began introducing to base stations nationwide in February 2026. That earlier deployment reportedly improved communication stability by 25% and cut optimization work time by over 95%. The Hitachi trial applies this same technology to a specific use case: autonomous buses operating under Level 4 automation, where remote monitoring is mandatory. The Hitachi BRT route has been running Level 4 autonomous service since February 2025 over a 6.1 km stretch, while the Omika loop route has been testing Level 2 automation since January 2025. By applying AI-driven network tuning in this setting, the companies aim to verify whether communication quality improvements can reduce the burden on remote monitoring staff. If successful, the approach could support autonomous bus operations without requiring expensive new telecom infrastructure, potentially addressing driver shortages and underserved transport areas.
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