Sun et al., 2019
ViewHTML| Publication | Publication Date | Title |
|---|---|---|
| Sun et al. | Traffic congestion prediction based on GPS trajectory data | |
| Ke et al. | Two-stream multi-channel convolutional neural network for multi-lane traffic speed prediction considering traffic volume impact | |
| Mallick et al. | Graph-partitioning-based diffusion convolutional recurrent neural network for large-scale traffic forecasting | |
| Khajeh Hosseini et al. | Traffic prediction using time-space diagram: a convolutional neural network approach | |
| Hou et al. | Network scale travel time prediction using deep learning | |
| Liang et al. | A deep generative adversarial architecture for network-wide spatial-temporal traffic-state estimation | |
| Yang et al. | Use of deep learning to predict daily usage of bike sharing systems | |
| Sun et al. | Bidirectional spatial–temporal network for traffic prediction with multisource data | |
| Fernandes et al. | Long short-term memory networks for traffic flow forecasting: exploring input variables, time frames and multi-step approaches | |
| Ai et al. | A deep learning approach to predict the spatial and temporal distribution of flight delay in network | |
| Xie et al. | Hybrid traffic prediction scheme for intelligent transportation systems based on historical and real-time data | |
| Min et al. | Deep multimodal learning for traffic speed estimation combining dedicated short-range communication and vehicle detection system data | |
| Eteifa et al. | Predicting coordinated actuated traffic signal change times using long short-term memory neural networks | |
| Xu et al. | Leveraging transformer model to predict vehicle trajectories in congested urban traffic | |
| Nohekhan et al. | A deep learning model for off-ramp hourly traffic volume estimation | |
| Nguyen et al. | Deep learning system for travel speed predictions on multiple arterial road segments | |
| Nawaz et al. | Mode Inference using enhanced Segmentation and Pre-processing on raw Global Positioning System data | |
| Islam et al. | Signal phasing and timing prediction using connected vehicle data | |
| Ludowieg et al. | Using machine learning to predict freight vehicles’ demand for loading zones in urban environments | |
| Fan et al. | Deep learning-based dynamic traffic assignment with incomplete origin–destination data | |
| Mittal et al. | Deep-learning spatiotemporal prediction framework for particulate matter under dynamic monitoring | |
| Sharif et al. | CaFIRST: A context-aware hybrid fuzzy inference system for the similarity measure of multivariate trajectories | |
| Xie et al. | Development of a highly transferable urban winter road surface classification model: A deep learning approach | |
| Karim et al. | Dynamic spatial correlation in graph wavenet for road traffic prediction | |
| Zhang et al. | Real-time intersection turning movement flow forecasting using a parallel bidirectional long short-term memory neural network model |