PURPOSES : Even when autonomous vehicles are commercialized, a situation in which autonomous vehicles and regular drivers are mixed will persist for a considerable period of time until the percentage of autonomous vehicles on the road reaches 100%. To prepare for various situations that may occur in mixed traffic, this study aimed to understand the changes in traffic flow according to the percentage of autonomous vehicles in unsignalized intersections. METHODS : We collected road information and constructed a network using the VISSIM traffic simulation program. We then configured various scenarios according to the percentage of autonomous vehicles and traffic volume to understand the changes in the traffic flow in the mixed traffic by scenario. RESULTS : The results of the analysis showed that in all scenarios, the traffic flow on major roads changed negatively with the mix of autonomous vehicles; however, the increase or decrease was small. By contrast, the traffic flow on minor roads changed positively with a mix of autonomous vehicles. CONCLUSIONS : This study is significant because it proactively examines and designs traffic flow changes in congested traffic that may occur when autonomous vehicles are introduced.

1. 서론
    1.1. 연구 배경 및 목적
    1.2. 연구 범위
    1.3. 연구 내용 및 방법
2. 선행연구 고찰
    2.1. 자율주행차와 일반운전자의 주행행태 관련 연구
    2.2. 자율차-일반차 혼합 교통류 특성 관련 연구
    2.3. 자율주행차 주행행태 모델 관련 연구
    2.4. 기존 연구와의 차별성
3. 시뮬레이션 모델링
    3.1. 네트워크 기초자료 조사
    3.2. 네트워크 구축 및 정산
    3.3. 파라미터 설정
4. 시뮬레이션 수행
    4.1. 시나리오 구축
    4.2. 시뮬레이션 수행 및 결과
5. 결론
REFERENCES

• 정현숙(명지대학교 교통공학과 박사수료) | Jeong Hyeonsuk
• 손영태(명지대학교 교통공학과 교수) | Son Young tae Corresponding author
• 전진숙(명지대학교 재난대응교통관리센터 연구교수) | Jeon Jinsuk
• 김태경(도로교통공단 교통과학연구원 자율주행연구처 책임연구원) | Kim Taekyung