Ai Haneda Exclusive
Draft report: AI Haneda
Executive summary
AI Haneda is a proposed project to deploy AI-driven systems at Haneda Airport to improve passenger flow, operational efficiency, safety, and passenger experience. This report outlines objectives, proposed solutions, implementation roadmap, stakeholders, risks, and costs.
First, "The Infinite Scroll" —a generative AI installation that creates a never-ending emaki (horizontal narrative scroll) based on real-time global news sentiment. When the news is positive, the scroll paints festival scenes; when negative, the ink runs black. ai haneda
In the late 2020s, Tokyo’s Haneda Airport became the silent heartbeat of a hyper-efficient Japan, powered by an invisible mind known only as "HALO". Draft report: AI Haneda Executive summary AI Haneda
Haneda has three main terminals, with international flights primarily using Terminal 3 Terminal 1 : Primarily domestic JAL and Skymark. Terminal 2 : Primarily domestic ANA , plus some international ANA flights. Terminal 3 Airport authority — governance, safety oversight
Report: The Role of Artificial Intelligence at Tokyo International Airport (Haneda) – Current Landscape, Impact, and Future Opportunities
Introduction
Haneda International Airport (HND) has long been Japan’s gateway to the world, ranking among the world’s busiest and most efficient airports. In the past few years, the airport has taken another leap forward—this time powered by artificial intelligence. From seamless check‑in to predictive crowd management, AI is reshaping every touchpoint of the traveler’s journey. In this post we’ll explore the key AI‑driven initiatives at Haneda, the technology behind them, and what they mean for passengers, airlines, and the broader aviation ecosystem.
Stakeholders & roles
- Airport authority — governance, safety oversight.
- Airlines — data sharing, validation.
- Customs/immigration — compliance and deployment of e-gates.
- Ground handlers — operations integration.
- IT vendors/AI suppliers — model development, edge devices.
- Legal & privacy — data governance and compliance.
4. Operational Data (2025 Fiscal Year)
| Metric | Pre-AI (2018) | Post-AI (2025) | Change | |--------|---------------|----------------|--------| | Avg. passenger processing time (curb to gate) | 48 min | 35 min | -27% | | Mishandled baggage rate per 1,000 pax | 2.1 | 1.2 | -43% | | On-time departure performance | 82% | 91% | +9% | | Security wait time (peak hour) | 28 min | 12 min | -57% | | Daily autonomous vehicle trips (airside) | 0 | 2,400 | N/A |
