The real-time dynamic control of reversible lanes is an effective measure to alleviate the traffic congestion caused by the directional imbalance of the traffic flow and improve the utilization rate of urban road resources. This paper proposes a dynamic allocation model for reversible lanes for road sections and intersections in the intelligent vehicle infrastructure cooperative system (IVICS). The dynamic lane allocation model for the road sections is constructed based on the Bureau of Public Road (BPR) function, in which the 24 hours of the day are divided into stages, the traffic volume and road impedance of each stage are obtained, and their product is integrated over time. Finally, the plan with the least delay in each stage is selected as the optimal solution. The dynamic lane control model for intersections is built according to the Highway Capacity Manual 2000 (HCM2000) delay model. With the minimum average delay of vehicles at the intersection as the objective function, the average delay of different lane combinations under different traffic conditions is analyzed to find the optimal combination of reversible lanes and ordinary lanes. The model is verified by case analysis and MATLAB calculations. The results show that the reversible lane dynamic control model can effectively allocate road resources and reduce driving delays.

中文翻译：

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智能汽车基础设施协同系统中可逆车道动态分配模型

可逆车道的实时动态控制是缓解交通流方向不平衡导致的交通拥堵，提高城市道路资源利用率的有效措施。本文提出了智能车辆基础设施协同系统（IVICS）中路段和交叉口可逆车道的动态分配模型。基于公共道路局（BPR）功能构建路段动态车道分配模型，将一天中的24小时划分为阶段，得到每个阶段的交通流量和道路阻抗，产品随着时间的推移而集成。最后，选择每个阶段延迟最小的计划作为最优解。交叉口动态车道控制模型是根据2000年公路通行能力手册（HCM2000）延迟模型建立的。以交叉路口车辆的最小平均延误时间为目标函数，分析不同交通条件下不同车道组合的平均延误时间，寻找可逆车道和普通车道的最优组合。该模型通过案例分析和MATLAB计算得到验证。结果表明，可逆车道动态控制模型能够有效分配道路资源，减少行车延误。分析不同车道组合在不同交通条件下的平均延误，寻找可逆车道和普通车道的最优组合。该模型通过案例分析和MATLAB计算得到验证。结果表明，可逆车道动态控制模型能够有效分配道路资源，减少行车延误。分析不同车道组合在不同交通条件下的平均延误，寻找可逆车道和普通车道的最优组合。该模型通过案例分析和MATLAB计算得到验证。结果表明，可逆车道动态控制模型能够有效分配道路资源，减少行车延误。