Application of Gray Correlation and Improved AHP to Evaluation on Intelligent U-Turn Behavior of Unmanned Vehicles

Gray correlation analysis combined with improved AHP (Analytic Hierarchy Process) method is applied to evaluate intelligent U-turn behavior of unmanned vehicles. On the basis of establishing the evaluation index system of intelligent U-turn behavior, improved AHP is used to determine the weight of every evaluation index, and then the gray correlation comprehensive evaluation model is constructed, which can be directly converted to the score and easily compared or ordered by the results. The results of applying the scheme to the evaluation of "Future Challenge 2012" show that the scores of four racing vehicles are 94.6, 60.5, 80.9, 59.5 and the ranking is Vehicle 1>Vehicle 3>Vehicle2>Vehicle 4, and this ranking obtained by the method is consistent with the result given by the referee group. The proposed method has a certain value, which can provide theoretical reference for evaluation of intelligent behaviors of unmanned vehicles.