安全与环境学报

针对交通事件导致的双车道公路单车道长期封闭场景，提出了一种融合人工清空逻辑与信号自适应优化的动态清空-信号协同控制方法。通过考虑交通事件长度、车型速度差异等因素，提出双车道公路单边交替通行信号配时优化模型，并利用路侧相机或雷达识别“最后一辆车通过对端”的事件，动态触发清空阶段结束与信号相位切换，实现常规运行下的全程自动化管控。基于SUMO微观仿真平台的试验结果表明，在交通事件影响下的双车道公路交替通行路段，动态清空-信号协同控制方法在不同流量场景下均表现出最优性能。动态清空-信号协同控制方法的平均信号周期时间较固定周期缩短了20.1%,较人工控制缩短了22.0%。在交通流量较低时，动态清空-信号协同控制方法的平均延误与人工控制接近，并显著优于固定周期策略，最大排队长度较人工控制和固定周期控制策略分别降低8.5%和17.6%;在交通流量较高时，动态清空-信号协同控制方法在最大排队长度、延误时间、等待时间和平均速度等方面提升效果更为显著。与人工管控和固定周期管控法相比，动态清空-信号协同控制方法最大排队长度分别降低14.2%和16.2%,平均延误时间分别缩短12.6%和9.7%,平均等待时间分别缩短21.5%和13.1%,平均通行速度提升26.8%和6.1%。该方法结合了动态清空的准确性与信号配时的高效性，有效优化了交通事件下双车道公路单车道交替通行的效率，可为提升交通事件影响下的交通管理效率提供参考。

This study proposes a Dynamic Clearance-Signal Coordinated Control(DCSC) method aimed at improving traffic management efficiency during single-lane closures on two-lane highways affected by traffic incidents. The DCSC approach integrates manual clearance logic with adaptive signal optimization based on an improved Webster model. It incorporates key factors such as incident-zone length, vehicle-type-dependent speeds, and acceleration differences, using the moment when the last vehicle passes the opposite end as a trigger for signal phase switching. Portable signal units and roadside sensors, including cameras and radars, automatically detect the completion of vehicle clearance and initiate phase transitions, achieving fully automated control without the need for additional fixed infrastructure. Using field data from the G318 Basu-Bomi corridor in Xizang, the proposed method was evaluated through microsimulation on the SUMO platform and compared with manual and fixed-cycle control schemes. The results demonstrate that the DCSC strategy consistently outperforms the alternatives under various traffic conditions. The average signal cycle time is 20.1% shorter than that of fixed-cycle control and 22.0% shorter than manual control. Under low-flow conditions(traffic volume <300 pcu/h), the DCSC method achieves a similar average delay to manual control but significantly outperforms the fixed-cycle scheme, reducing the maximum queue length by 8.5% and 17.6%, respectively. Under medium-to-high flow conditions(traffic volume ≥300 pcu/h), the DCSC method further improves operational efficiency, reducing the maximum queue length, average delay time, and average waiting time by 16.2%, 12.6%, and 21.5%, respectively, while increasing the average speed by up to 26.8%. Sensitivity analysis confirms the robustness of the proposed method under varying incident-zone lengths and truck proportions, maintaining stable performance even in long or truck-dominated sections. By combining the precision of dynamic clearance with the efficiency of adaptive signal timing, the DCSC method offers a practical, low-cost, and effective automated control strategy for two-lane highway work zones or emergency scenarios, significantly enhancing both traffic safety and operational efficiency.