面向冲突化解的双线交汇区段列车编队双层优化模型

Virtual Coupling Train Marshaling Bi-level Optimization Model for Conflict Resolution at Junctions

针对虚拟编组列车在双线交汇区段上面临的冲突与通过效率问题,提出了多种速度组编协调策略。将列车汇入时间、次序、编队组合和速度序列决策集成在双层优化模型中,上层模型优化通过效率,下层模型提高编队质量;设计双层嵌套粒子群算法,将汇入时间作为双层模型的中间交互变量,使列车群能根据环境需求收敛于不同队形。仿真结果表明,加入协调速度优化可以提高组编过程效率,双层编队模型可以在确保编队结构稳定性和均衡性的同时提高既有线路通过率。

In addressing the conflicts and throughput efficiency issues for virtual train formations at junctions,various marshaling coordination strategies were proposed.The train merging timing,sequence,formation composition,and speed sequence decisions were integrated into a bi-level optimization model.The upperlayer model optimizes the throughput efficiency,while the lower-layer model improves the virtual coupling formation quality.A bi-level nested particle swarm algorithm was designed,with the train merging time serving as an intermediate interactive variable between the two layers,enabling the convergence of train formations to different configurations based on environmental demands.Simulation results demonstrate that the inclusion of coordinated speed optimization can enhance the efficiency of the coupling process.The bi-level optimization model can increase the throughput efficiency of existing lines while ensuring the stability and balance of marshaling structures.