A study of human-machine cooperative system for safety driving utilizing an instrumented AR (Augmented Reality) vehicle

2017 Fiscal Year Final Research Report

• Project/Area Number: 15H02985
• Research Category: Grant-in-Aid for Scientific Research (B)
• Allocation Type: Single-year Grants
• Section: 一般
• Research Field: Social systems engineering/Safety system
• Research Institution: Japan Automobile Research Institute
• Principal Investigator: Uchida Nobuyuki 一般財団法人日本自動車研究所, 安全研究部, 研究員 (40426250)
• Co-Investigator(Kenkyū-buntansha): 永井 正夫 一般財団法人日本自動車研究所, その他部局等, その他 (10111634) ; 毛利 宏 東京農工大学, 工学(系)研究科(研究院), 教授 (50585552) ; 今長 久 一般財団法人日本自動車研究所, 安全研究部, 研究員 (90384734)
• Project Period (FY): 2015-04-01 – 2018-03-31
• Keywords: 高度運転支援 / 拡張現実 / 交通事故対策

Outline of Final Research Achievements

The causation analysis using car-to-pedestrian incident data base revealed that a driver’s workload concerning to control the heading direction of his/her vehicle while turning an intersection can negatively affect safety checking behaviour for pedestrians around crosswalk. Based on findings from the causation analysis, we developed an instrumented AR (Augmented Reality) vehicle with automated steering control system and conducted experiments at the proving ground in the Japan Automobile Research Institute. It was found that the reduction of vehicle control workload promoted drivers’ safety checking behaviour for pedestrians. The results can apply to research activities which develop countermeasures for car-to-pedestrian accidents at urban intersections.

Free Research Field

人間工学