*4.3. Discussion*

The developed scheduling algorithm is suitable for the unmanned dump truck scheduling problem in a complex open-pit mine environment. First, for the complex terrain and road network in the open-pit mine area, the algorithm can select the best path according to the location and target of the unmanned dump truck to minimize energy consumption and time cost. Second, the algorithm can intelligently allocate the driving route for the unmanned dump truck according to the energy situation of the unmanned dump truck, so as to avoid the occurrence of energy exhaustion. In addition, the algorithm can reasonably arrange the driving sequence and work allocation of unmanned dump trucks according to the location and task requirements between unmanned dump trucks, so as to maximize the overall production efficiency. However, it is important to note that the algorithm may face certain technical limitations in the open-pit mine environment. Factors such as terrain changes and weather conditions can impact the algorithm's performance.
