메뉴 건너뛰기
.. 내서재 .. 알림
소속 기관/학교 인증
인증하면 논문, 학술자료 등을  무료로 열람할 수 있어요.
한국대학교, 누리자동차, 시립도서관 등 나의 기관을 확인해보세요
(국내 대학 90% 이상 구독 중)
로그인 회원가입 고객센터 ENG
주제분류

추천
검색
질문

논문 기본 정보

자료유형
학술대회자료
저자정보
Jeong Hyun Seok (Kookmin University) Chae Yeon Lee (Kookmin University) Jun Young Park (Kookmin University) Jong Hoon Yang (Kookmin University) Da Young Ju (Kookmin University)
저널정보
대한인간공학회 대한인간공학회 학술대회논문집 2021 대한인간공학회 추계학술대회 및 국제심포지엄
발행연도
2021.11
수록면
55 - 55 (1page)

이용수

표지
📌
연구주제
📖
연구배경
🔬
연구방법
🏆
연구결과
AI에게 요청하기
추천
검색
질문

초록· 키워드

오류제보하기
Objective: The aim of study is to prevent collision accidents between personal mobility and vehicle. This study suggests a new infrastructure called V2X interactive lighting and warning UI system. Background: The lack of securing visibility, which occurred by a blind spot in both features of the vehicle pillar and outside geography, is a pain point of vehicle drivers. Personal mobility drivers keep high-speed riding without the perception of hazardous areas, and this is the significant reason to lead a collision accident. Therefore, measures are required to prevent personal mobility-vehicle accidents by securing visibility and inducing speed reduction. Method: This study distinguishes the types of blind spots through case analysis of collision accidents between personal mobility and vehicle. It proposes the V2X system as the intelligent road infrastructure, which directly transmits and receives significant traffic or road information beyond the vehicle drivers’ visibility. This paper decides to adopt the C-V2X system with lots of advantages by acknowledging the status of being established by policy implementation. To define a warning UI system, this study specifies navigation warning UI guidelines through the previous research case. Ultimately, this paper selects the left turn situation at the intersection, representing the type of the highest dangerous areas, to further deducing storyboards and UI scenarios. Results: The V2X interactive ... 전체 초록 보기

목차

등록된 정보가 없습니다.

참고문헌 (0)

참고문헌 신청

함께 읽어보면 좋을 논문

논문 유사도에 따라 DBpia 가 추천하는 논문입니다. 함께 보면 좋을 연관 논문을 확인해보세요!

이 논문의 저자 정보

최근 본 자료

전체보기

댓글(0)

0