Automated driving of next-generation vehicles cooperating and mixed with pedestrians
Project/Area Number |
16K14317
|
Research Category |
Grant-in-Aid for Challenging Exploratory Research
|
Allocation Type | Multi-year Fund |
Research Field |
Civil engineering project/Traffic engineering
|
Research Institution | Nagoya University (2017) The University of Tokyo (2016) |
Principal Investigator |
Iryo Miho 名古屋大学, 環境学研究科, 准教授 (80469858)
|
Co-Investigator(Kenkyū-buntansha) |
井料 隆雅 神戸大学, 工学研究科, 教授 (10362758)
|
Research Collaborator |
DIAS Charitha
HASEGAWA Yu
|
Project Period (FY) |
2016-04-01 – 2018-03-31
|
Project Status |
Completed (Fiscal Year 2017)
|
Budget Amount *help |
¥3,640,000 (Direct Cost: ¥2,800,000、Indirect Cost: ¥840,000)
Fiscal Year 2017: ¥2,080,000 (Direct Cost: ¥1,600,000、Indirect Cost: ¥480,000)
Fiscal Year 2016: ¥1,560,000 (Direct Cost: ¥1,200,000、Indirect Cost: ¥360,000)
|
Keywords | パーソナルモビリティ / 歩行者 / バーチャルリアリティ / 混合交通 / 主観的危険度 / 交通工学・国土計画 / 自動運転 |
Outline of Final Research Achievements |
Personal mobility vehicle (PMV) is a small vehicle for one person which can move through pedestrian flow. This research aims at clarifying the requirement of PMV maneuver and road environment conditions to achieve safe mixed traffic between PMV and pedestrians. Virtual-reality-based walking simulator in which subjects and virtual PMV or pedestrians can interactively avoid each other is implemented. Through virtual reality experiments, the relationship between subjective danger level of pedestrians from PMV and several influencing factors such as PMV maneuver, sidewalk width, pedestrian density was quantitatively revealed.
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Report
(3 results)
Research Products
(9 results)