With rapid development of driverless technology, driverless special vehicles into airport flight zone will become a future airport development trend. At present, there is no reasonable evaluation system for the operation risk assessment of driverless special vehicles in the airfield. Based on the study of risk factors of driverless special vehicles in the airfield, this paper establishes a risk assessment model of driverless special vehicles in the airfield from the perspectives of internal and external factors. The trigonometric function and trapezoidal function are combined to determine the improved whiteness weight function, which is then applied to the analytic hierarchy process (AHP)-grey theory comprehensive evaluation method so as to judge the weight and evaluate the risk factors comprehensively. Finally, an comprehensive risk assessment is carried out by taking the driverless luggage trailer as an example and the preventive measures are proposed against larger risk factors.

risk assessment  /  grey theory  /  ahp  /  special vehicle  /  airport area