논문 상세보기
pp.73-81
In the Autonomous Mobility Living Lab, traffic situations with both autonomous vehicles (AVs) and ordinary vehicles driven by humans (HDVs) are explored. Research on countermeasures and efficient transportation management plans has emerged from this context. In this study, we analyzed the effect of AVs with different speeds on signal intersections and road networks to derive efficient traffic operation plans for roads on which various AVs and HDVs with different driving behaviors are mixed in Living Lab cities. To that end, we conducted a simulation-based analysis of the effects of AV mixing rates on continuous signal intersections and the road network in traffic situations where AVs and HDVs were mixed at peak and non-peak driving hours. The simulation scenario was designed by classifying the traffic volume levels at peak and non-peak times and defining various AV mixing rates; we also set the driver behaviors of the AVs as either conservative or aggressive. By performing a small-scale traffic simulation, the average control delay, average stopped delay, average queue length, and average travel time of the signal intersection for each scenario were derived, and the impact of the AV mixing rate on traffic operation was analyzed. The results of the analysis show that higher AV mixing rates were associated with lower measurements of the effectiveness of signal intersections, which had a positive effect on traffic operation. This resulted in a stable and efficient improvement of the traffic flow at intersections as more vehicles passed through at the time of the allocated signal, as the AVs in the simulation could be driven at short intervehicle intervals by receiving real-time traffic information. In the traffic operation on the network, we found that the higher the AV mixing rate, the lower the average travel time, resulting in a greater effect of facilitating the traffic flow of the urban network. These simulated results indicate that higher AV mixing rates were associated with positive outcomes in terms of signal intersections and network traffic operation. We expect that this simulation can be used to establish real traffic operation plans in traffic situations where AVs are mixed at each stage of autonomous driving technology in the future.
1. 서론
1.1. 연구 배경 및 목적
1.2. 연구 범위
1.3. 연구 방법
2. 선행연구 고찰
2.1. AV 주행에 따른 교통운영특성 분석 연구
2.2. 선행 연구와의 차별성
3. 시뮬레이션 모델링
3.1. 시나리오 설계
3.2. 네트워크 구축 및 데이터 설정
3.3. 네트워크 정산
3.4. 신호교차로 효과지표 선정
3.5. 차량 주행 행동 모형
3.6. 시뮬레이션 설정 및 수행
4. 분석 결과
4.1. 신호교차로 운영에 미치는 영향분석
4.2. 가로축 교통운영에 미치는 영향분석
5. 결론 및 향후 연구과제
감사의 글
REFERENCES
