With the background of campus intelligence construction, a speed guidance strategy for campus unmanned vehicles based on vehicle road coordination environment is proposed to address the traffic congestion problem caused by unmanned transport vehicles at three-way intersections on campus, and adjust the operating status of campus unmanned vehicles at three-way intersections. Firstly, establish the driving rules that unmanned transport vehicles must follow for safe operation on campus, and design the layout and indication rules of traffic lights at three-way intersections. Secondly, define and assume the vehicle dynamics model, determine the range of the speed induction area, and design speed induction control strategies for campus unmanned vehicles under different signal light conditions. Adopting the S-shaped acceleration and deceleration algorithm to adjust the speed of campus unmanned vehicles and improve the smoothness of the speed curve of campus unmanned vehicles induced by vehicle speed. Finally, design a VISSIM simulation analysis platform and establish a campus unmanned vehicle speed induction model. Using the designed VISSIM simulation analysis platform, build a road network model of the campus three-way intersection, and conduct experimental analysis based on the coverage of unmanned vehicles on campus.The real vehicle experiment results show that after using the speed induction strategy for scheduling, the travel time, number of queued vehicles, and delay time of campus unmanned vehicles passing through three-way intersections are reduced by 19.3%, 47.5%, and 24.3%, respectively. The proposed campus unmanned vehicle speed guidance strategy based on vehicle road collaborative environment effectively improves the transportation efficiency of campus unmanned vehicles, which can effectively avoid campus safety accidents caused by traffic congestion, achieve the goal of intelligent scheduling, and meet the needs of campus smart construction.