Airport surface movement prediction and safety assessment with spatial–temporal graph convolutional neural network

Keyphrases

• Safety Assessment 100%
• Ground Object 100%
• Graph Convolutional Neural Network 100%
• Prediction Assessment 100%
• Movement Prediction 100%
• Airport Ground Movement 100%
• Airport 42%
• Graph Representation 28%
• Separation Distance 28%
• Displacement Error 28%
• Airport Surface Operation 28%
• International Airport 14%
• Large Volume 14%
• Performance Prediction 14%
• Object Motion 14%
• Computational Results 14%
• Distance-based 14%
• Parsing 14%
• Quantitative Performance 14%
• Event Service 14%
• Model Form 14%
• Injury Risk 14%
• Collision Event 14%
• Information Dissemination Model 14%
• Raw Data Processing 14%
• Machine Learning Models 14%
• Flight Data 14%
• Convolutional Neural Network Model 14%
• Convolution Neural Network 14%
• Trajectory Prediction 14%
• Atlanta 14%
• Airport Surface 14%
• Distance-based Metrics 14%
• Aircraft Equipment 14%
• Movement Events 14%
• Trajectory Forecast 14%
• Surface Movement 14%
• Apache Spark 14%
• Historical Trajectory 14%
• Convolutional Long Short-term Memory (ConvLSTM) 14%
• Spatial Relationship 14%
• Future Trajectories 14%
• Ground Equipment 14%

Computer Science

• Graph Convolutional Network 100%
• Graph-Based Representation 50%
• Separation Distance 50%
• Neural Network Model 25%
• Convolutional Neural Network 25%
• Spatial Relationship 25%
• Apache Spark 25%
• Prediction Performance 25%
• Long Short-Term Memory Neural Network 25%
• Machine Learning 25%
• Learning System 25%
• Data Processing 25%

Engineering

• Ground Object 100%
• Convolutional Neural Network 100%
• Raw Data 28%
• Separation Distance 28%
• Peak Hour 28%
• Prediction Performance 14%
• Metrics 14%
• Network Model 14%
• Long Short-Term Memory 14%
• Learning System 14%