The aim of this study is to address the lack of research on the application of AIXM dataset (aeronautical information exchange model dataset) in general aviation, as well as the issue of excessive turning nodes in helicopter path planning when using the classical A^* algorithm. An improved A^* algorithm helicopter path planning method based on AIXM dataset was proposed. Firstly, the space-time attribute of the AIXM dataset was analyzed, and a query method for AIXM obstacle data based on space-time attribute search was designed, thereby establishing the foundational data environment for helicopter path planning. Then the collision judgment bounding box was constructed according to the performance constraints of the helicopter. Based on this collision bounding box, an improved classical A^* algorithm was utilized to propose a method for helicopter path planning using AIXM data of obstacle and route. The simulation experiments conducted using Python and Luaid AIXM 5 Viewer demonstrate that the proposed method for helicopter path planning exhibits a reduced number of turning nodes, decreased frequency of helicopter turns, and ensures a shorter planned path while maintaining the necessary safety distance from obstacles. The method simultaneously represents an efficient endeavor to utilize the AIXM dataset in general aviation scenarios.