차로 감소 병목 구간 혼잡 완화 전략: 낮은 자율협력주행차량 (CAV) 혼입률을 중심으로 Congestion Mitigation Strategy at Lane Drop Bottleneck with Low Connected and Automated Vehicle (CAV) Penetration
pp.345-355
PURPOSES : This study aims to develop a congestion mitigation strategy at lane drop bottleneck with low Connected and Automated Vehicle (CAV) penetration. METHODS : The proposed strategy is designed to assign a role of a moving bottleneck to CAVs to reduce low-speed lane changes at bottleneck locations, which are the main cause of bottleneck capacity drop. Through this, it aims to induce proactive upstream lane changes for Human-Driven Vehicles (HDVs,). Therefore, this study includes the control algorithm for CAVs, and the evaluation of the strategy assumes penetration rates of 5% and 10% in a Microsimulation VISSIM environment. The assessment is conducted by comparing the capacity drop and total travel time. Additionally, a sensitivity test for the parameter of the CAV control algorithm, reduced speed, is performed to find the optimal parameter. RESULTS : In this study, three scenarios, a) Base, b) CAV with no control, and c) CAV with control, are designed to evaluate the effects of the CAV control strategy. Analysis of segment density and lane change distribution reveals that the control strategy effectively prevented vehicle congestion due to the bottleneck effect. Additionally, the analysis of capacity changes before and after the bottleneck and total travel time shows the effectiveness of the control strategy. The sensitivity test on CAV control speed emphasized the importance of selecting an appropriate speed for maintaining efficient traffic flow. Lastly, as the CAV penetration rate increased, the control strategy exhibited greater effectiveness in mitigating capacity drop. CONCLUSIONS : The proposed strategy is intended for use at low CAV penetration rates and is expected to provide assistance in mitigating congestion at bottlenecks during the early stages of CAV commercialization. Furthermore, since the role of CAV in the strategy can be performed by CVs or even HDVs, it can be applied not only immediately but also in the near future.
2. 문헌 고찰
3. 방법론
3.1. 연구의 범위
3.2. CAV 제어 알고리즘
3.3. VISSIM 시뮬레이션
4. 제어 전략 평가
4.1. 시뮬레이션 네트워크 및 환경 설정
4.2. 제어 전략 효과 분석
4.3. CAV 제어 속도 민감도 분석
4.4. CAV 증가에 따른 제어 전략 효과 분석
5. 결론 및 제언
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