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

Research Project

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
Project Status	Completed (Fiscal Year 2017)
Budget Amount *help	¥18,200,000 (Direct Cost: ¥14,000,000、Indirect Cost: ¥4,200,000) Fiscal Year 2017: ¥4,290,000 (Direct Cost: ¥3,300,000、Indirect Cost: ¥990,000) Fiscal Year 2016: ¥4,290,000 (Direct Cost: ¥3,300,000、Indirect Cost: ¥990,000) Fiscal Year 2015: ¥9,620,000 (Direct Cost: ¥7,400,000、Indirect Cost: ¥2,220,000)
Keywords	高度運転支援 / 拡張現実 / 交通事故対策 / AR / 交差点事故防止 / 交通事故 / シミュレーション工学 / ヒューマンエラー / ドライブレコーダ / 歩行者事故 / 運転支援
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.