Research on decision system for driverless vehicles in uncertain environments

This paper addresses the technical problem of driverless vehicles making different decisions when encountering uncertain environments while driving, In terms of road condition detection, risk feedback, behavioral decision making and path planning, the use of vehicle wireless networking technology and model fusion technology improves the stability of data transmission, road detection and decision making for driverless vehicles; Using Matlab simulation, simulation experiments and data analysis, it was found that risk feedback is a good tool for behavioral decision making in driverless vehicles, Creation of favorable conditions for real-time monitoring of the driving process and improved efficiency of simulation planning, To support accurate decision making when vehicles are at risk and to prove the reliability of the experiment, Improving the instability of conventional unmanned driving and informing behavioral decisions for driverless vehicles.