PURPOSES : This study is to initiated to estimate the impact of mixed traffic flow on expressway section according to the market penetration rate(MPR) of automated vehicles(AVs) using a enhanced intelligent driver model(EIDM). METHODS : To this end, microscopic traffic simulation and EIDM were used to implement mixed traffic flow on basic expressway section and simulation network was calibrated to understand the change of impact in mixed traffic flow due to the MPR of AVs. Additionally, MOEs of mobility aspects such as average speed and travel time were extracted and analyzed. RESULTS : The result of the impact of mobility MOEs by MPR and level of service indicated that 100% MPR of AVs normally affect positive impact on expressway at all level of service. However, it was analyzed that improvements in the level of service from LOS A to C are minimal until the MPR of AVs reaches 75% or higher. CONCLUSIONS : This research shows that impact of MPR of AVs using EIDM of mixed traffic flow on basic expressway. Increasing MPR of AVs affects positive impact on expressway at all level of services. However, MPR from 25% to 75% of AVs in LOS A to C shows minimal impacts. Therefore, to maximize the effectiveness of AVs, appropriate traffic operation and management strategies are necessary.

1. 서론
    1.1. 연구의 배경 및 목적
    1.2. 연구의 범위 및 방법
2. 관련 문헌 고찰
    2.1. 관련 연구고찰
    2.2. 연구의 차별성
3. 연구 방법론
    3.1. 개요
    3.2. 데이터 수집
    3.3. 시뮬레이션 네트워크 구축 및 정산
    3.4. 주행행태 구현
    3.5. 시나리오 선정
    3.6. 평가 지표 선정
    3.7. 시뮬레이션 수행
4. 연구결과 분석
    4.1. 평균속도 분석 결과
    4.2. 평균 통행시간 분석 결과
5. 결론 및 향후 연구과제
    5.1. 결론
    5.2. 향후 연구과제
감사의 글

• 박상민(정회원 · 한국교통연구원 도로교통연구본부 부연구위원) | Park Sangmin
• 이수연(한국교통연구원 도로교통연구본부 연구원) | Lee Suyeon
• 조민경(한국교통연구원 도로교통연구본부 연구원) | Cho Minkyoung
• 채찬들(정회원 · 한국교통연구원 도로교통연구본부 연구위원) | Chae Chandle (Research Fellow Department of Road Traffic Research, Korea Transport Institute, Sejong-si, Korea) 교신저자