AIToday
Large Language ModelsAutonomous DrivingTop Companies' AI MovesTop Companies AIPublished: Aug 29, 2026, 06:30 JST2 min read

KDDI and Michinori to Test AI-Optimized Network for Autonomous Buses

KDDI and Michinori to Test AI-Optimized Network for Autonomous Buses

Key takeaway

  • Japan's KDDI and Michinori will test AI-driven optimization of mobile network quality for autonomous buses.

  • Starting September 1, the trial runs on two routes in Hitachi City.

  • The goal is to reduce network design labor and improve 5G connectivity for self-driving vehicles.

3 Key Points

  1. What happened

    KDDI and Michinori Holdings announced on August 28, 2026, that they will run a demonstration from September 1 using AI to autonomously optimize communication quality for autonomous buses. The trial is part of a project adopted by Japan's Ministry of Internal Affairs and Communications and is conducted with cooperation from Hitachi City, Ibaraki Prefecture.

  2. Why it matters

    The demonstration compares network performance before and after AI-based RAN (radio access network) parameter optimization under remote monitoring. It aims to verify how much AI can cut the labor involved in network design and adjustment, and to measure improvements in 5G connectivity and signal quality for autonomous driving.

  3. What to watch

    The test will run on two routes: the Hitachi BRT route, which has operated level 4 autonomous driving over a 6.1 km section since February 2025, and the Omika Station loop route, about 3.0 km, which has run level 2 autonomous driving since January 2025. The BRT route includes 14 bus stops, 11 crossings with general roads, and 15 pedestrian crossing points.

Ask the AI about this article →

Context & Analysis

This trial is part of a broader Japanese government push to deploy level 4 autonomous driving in regional areas, as seen by its adoption under the ministry's project. The Hitachi BRT route already operates in revenue service at level 4, making it a realistic testing ground for network optimization. By comparing AI-adjusted RAN parameters against the status quo, the demonstration could show whether network tuning can be automated enough to cut manual labor—a key cost in running autonomous services. If successful, this could make it easier for other rural operators to adopt similar systems, though the results are not yet known. The inclusion of both a long BRT route and a shorter loop provides data from different operational scales and vehicle types, which may help generalize the findings.

FAQ

When does the autonomous bus demonstration begin?
The demonstration starts on September 1, 2026, as announced on August 28, 2026.
What routes are involved in the demonstration?
The demonstration uses the Hitachi BRT route (6.1 km, level 4 autonomous driving) and the Omika Station loop route (approximately 3.0 km, level 2 autonomous driving).
What is the purpose of the AI optimization in this trial?
It compares network performance before and after AI-based RAN parameter optimization to see if it reduces the workload of network design and adjustment, and to check how much it improves 5G connectivity and signal quality for autonomous driving.
Top Companies AIRead Original Article

Get the latest Large Language Models news every morning

For example, today's edition would include:

  • AI's math proofs challenge field's core valueJapan Times Tech · 3h ago
  • AI-written citations 38.6% fabricated, study findsHacker News · 3h ago
  • Lam Research breaks ground on AI chip lab in OregonTop Companies AI · 10h ago

AI-summarized, only the topics you pick — one digest a day via Email, Slack, or Discord.

Free · takes 30 seconds · unsubscribe anytimeWhat is AIToday? →

Ask AI

Ask AI anything about this article. Q&As are published on this page for other readers too.

Related Articles

Next articleColt Japan CEO: AI-powered autonomous network