Research on Emergency Logistics Vehicle Priority Optimization Strategy Based on Signalized Intersection Dynamic Straight-Right Lane

在城市交通中，应急物流车辆的通行效率和响应速度对于紧急情况的处理至关重要。尽管应急车辆享有优先通行权，但在车道较少的信号交叉口处，红灯排队的车辆常常无法及时避让应急车辆，严重影响其通行效率和应急响应速度。针对这一问题，本文提出了一种融合动态直右车道设计的优化策略，旨在通过实时调整信号相位，确保应急物流车辆能够无延迟地通过动态直右车道进入交叉口。该策略深入分析了动态直右车道设计的局限性，并在此基础上设计了一种实时调整信号相位的方法。具体而言，本研究明确了基于应急物流车辆预计到达交叉口时间和右转车道消散情况的信号相位动态调整机制，建立了车辆延误计算模型，以确保应急物流车辆能够快速通过交叉口。为了验证该策略的可行性和有效性，采用了理论分析与SUMO仿真验证相结合的方法。通过对比分析优化前后的通行效率，不仅证实本文提出方法的可行性，还展示了其在实际交通环境中的良好应用效果。本研究为城市交通管理和应急物流提供了新的理论和实践指导，有助于提高交通应急响应和通行效率。In urban traffic systems, the traffic efficiency and response speed of emergency logistics vehicles are crucial for handling emergencies. However, despite emergency vehicles having the right of way, in areas with fewer lanes, vehicles queuing at red lights often fail to yield promptly to emergency vehicles, severely affecting their traffic efficiency and emergency response speed. To address this issue, this paper proposes an optimization strategy that integrates the design of dynamic straight-right lanes, aiming to ensure that emergency logistics vehicles can transition without delay from right-turn lanes to dynamic straight-right lanes for priority passage through real-time signal phase adjustment. The strategy thoroughly analyzes the limitations of dynamic straight-right lane design and, based on this, devises a method for real-time signal phase adjustment. Specifically, this study elaborates on a dynamic signal phase adjustment mechanism based on the expected arrival time of emergency logistics vehicles at intersections and the dissipation conditions of right-turn lanes, ensuring that emergency logistics vehicles can pass through intersections quickly when needed. To verify the feasibility and effectiveness of this strategy, a combination of theoretical analysis and SUMO simulation validation was employed. By comparing the traffic efficiency before and after optimization, this study not only confirms the feasibility of the proposed scheme but also demonstrates its good application effects in real traffic environments. This research provides new theoretical and practical references for urban traffic management and the field of emergency logistics, helping to enhance the emergency response capabilities and overall traffic efficiency of urban traffic.