T.L. Pan

Probability hypothesis density filtering for real-time traffic state estimation and prediction

Future Intelligent and Secure Vehicular Network Toward 6G: Machine-Learning Approaches

Deep Multitask Learning for Railway Track Inspection

LSTM network: a deep learning approach for short‐term traffic forecast

Learning Traffic as Images: A Deep Convolutional Neural Network for Large-Scale Transportation Network Speed Prediction

A short-term traffic prediction model in the vehicular cyber–physical systems

A Self-Adaptive Parameter Selection Trajectory Prediction Approach via Hidden Markov Models

Deep Architecture for Traffic Flow Prediction: Deep Belief Networks With Multitask Learning

Traffic Flow Forecasting for Urban Work Zones

Big Data Analytics in Intelligent Transportation Systems: A Survey

A Review of Machine Learning and IoT in Smart Transportation

Hybrid short-term freeway speed prediction methods based on periodic analysis

An Edge Traffic Flow Detection Scheme Based on Deep Learning in an Intelligent Transportation System

Long short-term memory neural network for traffic speed prediction using remote microwave sensor data

T-GCN: A Temporal Graph Convolutional Network for Traffic Prediction

A Review of Fault Detection and Diagnosis for the Traction System in High-Speed Trains

Deep Learning-Powered Vessel Trajectory Prediction for Improving Smart Traffic Services in Maritime Internet of Things

A Survey of Convolutional Neural Networks: Analysis, Applications, and Prospects

A parallel spatiotemporal deep learning network for highway traffic flow forecasting

Stochastic cell transmission model (SCTM): A stochastic dynamic traffic model for traffic state surveillance and assignment

Short-Term Traffic State Prediction Based on Temporal–Spatial Correlation