Interactions between autonomous robots and manual driving vehicles in mixed traffic

2024 Fiscal Year Final Research Report

• Project/Area Number: 22K17932
• Research Category: Grant-in-Aid for Early-Career Scientists
• Allocation Type: Multi-year Fund
• Review Section: Basic Section 61020:Human interface and interaction-related
• Research Institution: Kyushu Institute of Technology (2024); The University of Tokyo (2022-2023)
• Principal Investigator: Yang Bo 九州工業大学, 大学院情報工学研究院, 准教授 (40866323)
• Project Period (FY): 2022-04-01 – 2025-03-31
• Keywords: 自律走行ロボット / 手動運転 / 混在空間 / 情報提示

Outline of Final Research Achievements

In this study, an experiment was conducted using a driving simulator to investigate the influence of an automated robot on the driver of a manually driven car in a mixed space. The driving data of the participants was recorded, and the eye movement behavior of the drivers were measured using a Smart Eye system. Meanwhile, the information that should be presented to the driver of a manually driven vehicle while interacting with an automated robot was investigated, to promote the coexistence of automated robots and manually driven vehicles. An interface was also proposed to present information to the driver of a manually driven vehicle based on the analysis results.

Free Research Field

人間機械システム

Academic Significance and Societal Importance of the Research Achievements

自動走行ロボットの社会実装に向けた取り組みが大きく加速している．しかし，自動走行ロボットと手動運転車のインタラクションはまだ十分検討されていない．低速走行する自動配送ロボットとの円滑な情報伝達ができなければ，あおり運転をする等の事故が発生しやすくなることが懸念される．自動走行ロボットと手動運転車の調和は社会的に意義があり，本研究の目的が達成されることで，混在交通におけるドライバの行動変化を解明でき，機械と人間の協調系としての安全性を向上して，自動走行ロボットの社会実装に貢献できる．