Trajectory prediction (TP) is a vital operation in air traffic control systems for flight monitoring and tracking. The approach phase of general aviation (GA) aircraft is more of a visual approach, which is related to the safety of the flight and whether to go around. Therefore, it is ...
While the e-commerce sector experienced substantial growth during the COVID-19 pandemic, the last year marked a departure from this trajectory. It was the first time since 2009 that U.S. e-commerce growth failed to reach double digits, settling at a modest 8.5% year-over-year increase. Thi...
方案1:2016年的CVPR论文“Sociallstm:Humantrajectorypredictionincrowdedspaces”是最早使用长短期记忆网络(LSTM)来建模并预测行人的轨迹,同时引入社会池化层(SocialPoolingLayer)来提取行人之间的交互信息。然而,像LSTM之类的循环神经网络只能顺序处理序列,并行处理能力差,效率低。 方案2:2018年CVPR论文“Socialgan:Socially...
After adversarial learning, the optimal vehicle lane-changing trajectory prediction is obtained using the proposed MAI. Experiments conducted with the NGSIM dataset demonstrate the comparative performance of baseline models on three different noise-added testing datasets using MAE, RMSE, and R metrics. ...
It can be seen that the DBC-Informer model can more accurately portray the effects of different driving behaviors on vehicle trajectories and improve the accuracy of vehicle trajectory prediction, which provides important data support for vehicle warning systems.Su, Jianyu...
Secondly, the time series is separated from the trajectory data in each segment and input into the model. The Informer model is utilized to improve long-term ship trajectory prediction ability, and the output mechanism is adjusted to enable predictions for each segment. Finally, the proposed ...
Traffic Volume Prediction Based on Multi-Sources GPS Trajectory Data by Temporal Convolutional Network. Mob. Netw. Appl. 2020, 25, 1405–1417. [Google Scholar] [CrossRef] Yang, H.; Zhang, X.; Li, Z.; Cui, J. Region-Level Traffic Prediction Based on Temporal Multi-Spatial Dependence ...
The experimental results are mainly comprehensively considered in dimensions such as the prediction accuracy and F1 index of the Informer model. The number of iterations of the model is set to six; the learning rate is set to 0.0001; the bath size is set to 64; the number of attention ...
The experimental results are mainly comprehensively considered in dimensions such as the prediction accuracy and F1 index of the Informer model. The number of iterations of the model is set to six; the learning rate is set to 0.0001; the bath size is set to 64; the number of attention ...