Research on Multi-AGV Task Allocation for Warehousing in Railway Logistics Park Based on Improved CBBA Algorithm

With the reform of railway transport and the introduction of the “Belt and Road” initiative, the market share of railway transport has gradually increased, and the volume of goods in railway logistics parks has increased dramatically, and the traditional manual sorting has been unable to meet the huge demand for goods, and it is necessary to improve the operational efficiency of warehousing with the help of intelligent logistics equipment represented by AGV. Task allocation is one of the key issues of AGV task scheduling system. AGV task allocation algorithm, as the core technology of AGV scheduling, can affect the efficiency of AGV operation. Based on this, this paper introduces the grouping strategy into the CBBA algorithm, reduces the computation of the AGVs in the conflict resolution phase, and improves the operation speed of the algorithm. In order to verify the performance of the method, simulation experiments are carried out in this paper, and the results show that the improved CBBA algorithm can effectively shorten the AGV task execution time and the average path of executing tasks, which verifies the effectiveness and feasibility of the method.