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Research on U-shaped automated terminal scheduling optimization algorithm considering transportation equipment conflict congestion

In order to improve the efficiency of U-shaped automated container terminal transportation and reduce the waste of resources and uneven task allocation problems caused by conflicts, a path optimization strategy considering time cost and an improved speed control strategy are used to simulate the scheduling tasks under U-shaped yard layout mode, and a restricted vehicle density method is adopted in the yard and combined with Dijkstra's algorithm for improvement. Monte Carlo tree search algorithm is used to search for the optimal task sequence and loading and unloading points. Using Qt software, we first conduct experiments to analyze the rationality of U-shaped yard layout and demonstrate that the algorithm can effectively solve the task assignment problem in large-scale situations, and the completion time are well improved. The results show that the improved algorithm can further reduce conflicts, achieve a better trade-off between blockage rate and time efficiency, and improve the efficiency of horizontal transportation of large-scale tasks at terminals.