Updating Road Information in Open‐Pit Mines Using Truck Trajectories

Accurate road information is crucial for the effective planning and management of open‐pit mines. However, the parameters related to the roads in open‐pit mines change constantly, and their shapes are often complicated. These factors indicate the difficulties in updating road information in open‐pit mines. This study reports a method for updating the road information in open‐pit mines using the trajectories of trucks. The method employs an algorithm for compressing trajectory data, an algorithm for extracting new roads, and an algorithm for old‐road classification. Data from the Fushun open‐pit mine is used to validate this method, and our experiments show that it can identify more than 90% of new roads and the majority of disappearing roads. In addition, we analyze several factors affecting the results obtained using this approach and provide a detailed description of the limitations of this method. Overall, our findings indicate that this is a promising approach to road‐information retrieval.