To accurately describe the following behavior of air traffic flow,particularly considering the asymmetry of air traffic acceleration and deceleration,an air traffic flow following model based on an improved intelligent driver model(IDM)is proposed.Firstly,using actual flight trajectory data from the Chengdu terminal area,the following trajectory data is selected.The genetic algorithm is used to calibrate the parameters of the different classical following models,ultimately selecting the IDM model due to its superior fitting accuracy.Next,the improved IDM following models specifically for acceleration and deceleration scenarios are established considering factors such as acceleration,inter-vehicle spacing,average speed differences,and aircraft types.To assess the stability of the improved model,the Nyquist plot is used to analyze the local stability and asymptotic stability.Simulation experiments are conducted on the improved following model for acceleration and deceleration scenarios.The results show that the stable range of the improved IDM model is increased.For the acceleration and deceleration scenarios,the stability time of the improved IDM model is only 13.9%and 22.2%of the original IDM model,respectively.The model shows strong stability for different types of leading aircraft,and the leading aircraft of heavy requires the longest stable time,which is consistent with the practical observation that heavy aircraft generate the most severe wake turbulence in actual operations.
关键词
航空运输/空中交通流/跟驰模型/稳定性/智能驾驶员模型/参数标定
Key words
air transportation/air traffic flow/aircraft-following model/stability/intelligent driver model/parameter calibration
维普
万方数据