Research on Distribution Path Planning of Campus Unmanned Vehicle

With the maturity of intelligent driving technology, unmanned delivery vehicles have begun to play an important role in logistics and distribution, especially in the post-epidemic era, zero-contact distribution has become the focus of market attention, and many universities have introduced unmanned vehicles to campus. However, the existing unmanned distribution system faces the challenges of few sites and low efficiency on campus. In order to improve the service level, this paper discusses how to optimize unmanned distribution by re-planning the path and design process. The campus unmanned distribution scheme is introduced, and the mathematical model of campus unmanned distribution path planning is constructed. Taking a university as an example, the coordinates of decision points are quantitatively analyzed by MATLAB software, and the Manhattan distance is used as the clustering basis, and the campus unmanned distribution path planning scheme is solved by K-means algorithm.