How Drivers Gender, Age, and Experience Affect Human-Automated Vehicle Interaction during Traffic Congestion on Highways
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- 一般価格(税込)：￥1,100 会員価格(税込)：￥880
- 文献番号
- 20214313
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- その他の国際会議
No.C3.2
- 掲載ページ
- 1-7(Total 7 p)
- 発行年月
- 2021年 5月
- 出版社
- (公社)自動車技術会
- 言語
- 英語
- イベント
- 第5回電動車両技術国際会議 EVTeC 2021【オンライン開催】
書誌事項
| カテゴリ（英） | Advanced xEV Motion Control & Dynamics 翻訳 |
|---|---|
| 著者（英） | 1) Husam Muslim, 2) Jacobo Antona-Makoshi, 3) Nobuyuki Uchida, 4) Cho Kiu Liang, 5) Makoto Itoh |
| 勤務先（英） | 1) Japan Automobile Research Institution / University of Tsukuba, 2) Japan Automobile Research Institution, 3) Japan Automobile Research Institution, 4) University of Tsukuba, 5) University of Tsukuba |
| 抄録（英） | This study conducted a driving simulation experiment to compare four automated driving systems (ADS) during lane change demanding situations on highways, while accounting for the drivers’ gender, age, and experience. While an ADS is activated, the vehicle approaches a traffic congestion on the left-hand lane. ADS-1 can reduce the speed to synchronize with the congestion. ADS-2 reduces the speed and issues an optional request to intervene advising the driver to change lanes manually. ADS-3 offers to overtake the congestion autonomously if the driver approves it. ADS-4 overtakes the congestion autonomously without driver's approval. Results of drivers reaction and acceptance indicated that differences between ADS designs increase when consider the combined effect of drivers gender, age, and experience more than when the effect of each factor is considered separately. These findings, while preliminary, may help us to understand how ADS users' behavior can differ based on several demographic human factors. 翻訳 |
