约束不均衡条件下车辆双层线路规划流动稳定性问题研究

双层线路在高峰期时，车辆规划计算最优解过程中为每个约束条件都分配一个最优解，会极大地浪费计算资源。车辆物流线路规划过程中，约束条件不均衡的天然特性，会导致规划过程车辆的流动稳定性受到影响。针对约束条件不均衡，对车辆双层线路规划流动稳定性影响的问题展开研究。构建了车辆物流线路双层规划Stackelberg模型，上层部分主要用于约束车辆物流线路的容量以及结构，排除不可用路线；下层部分主要对车辆物流线路实施均衡化配流，防止过多的车辆拥挤在同一路线中。利用模型将调度业务整合到高容量的路线中调度。在模型中加入调度资源缓存技术，保证调度过程的稳定性。实验结果表明：与使用单一模型求解相比，使用该模型进行调度业务疏导，可以在很大程度上获得更稳定的性能，解决了车辆物流线路规划流动稳定性问题。

Study on flow stability of vehicle bilevel route planning under constrained disequilibrium

In the peak period of double-layer line, in the process of calculating the optimal solution of vehicle planning, assigning an optimal solution to each constraint will greatly waste computing resources. In the process of vehicle logistics route planning, the natural characteristics of unbalanced constraints will affect the flow stability of vehicles in the planning process. This paper studied the influence of unbalanced constraints on the flow stability of vehicle bilevel route planning. It constructed a two-level programming Stackelberg model for vehicle logistics lines. The upper part was mainly used to restrict the capacity and structure of vehicle logistics lines and eliminate unavailable routes; The lower part mainly implemented balanced distribution of vehicle logistics lines to prevent too many vehicles from crowding in the same route. It used model to integrate scheduling business into high capacity routing. It added the scheduling resource cache technology to the model to ensure the stability of the scheduling process. The experimental results show that, compared with the single model solution, using the model to schedule the business grooming can achieve a more stable performance to a large extent, and solve the flow stability problem of vehicle logistics line planning.