Latest Research in Spatio-Temporal Traffic Forecasting

Top Research Topics in Spatio-Temporal Traffic Forecasting

• Traffic Prediction and Management Techniques — 19 papers
• Traffic control and management — 10 papers
• Computer Vision and Pattern Recognition — 10 papers
• Machine Learning — 8 papers
• Autonomous Vehicle Technology and Safety — 7 papers
• Robotics — 7 papers
• Systems and Control — 4 papers
• Artificial Intelligence — 4 papers
• Evacuation and Crowd Dynamics — 3 papers
• Networking and Internet Architecture — 2 papers

Highest-Cited Papers

1. Dynamic Trajectory Planning for Urban Traffic Using Deep Learning-Based Traffic Prediction (1 citations)
2. Interval-based collision prediction utilizing nested Kalman filters in video surveillance systems
3. Multi-stage temporal inference and adaptive windowing for automatic lane-change onset labeling from trajectory data
4. THEORETICAL FOUNDATIONS AND IMPLEMENTATION OPPORTUNITIES OF ARTIFICIAL INTELLIGENCE AND COMPUTER VISION TECHNOLOGIES IN AUTOMATING METROPOLITAN ESCALATORS.
5. Low-complexity pedestrian intent prediction using contextual stacked ensemble learning
6. LMP-GNN: Probabilistic Reconstruction of Missing Lane Counts for Signed Max-Pressure Traffic Signal Control
7. AURORA: A Natural Language-Driven Agentic Framework for Understanding, Reasoning, and Orchestrating Reliable Air-Ground Co-Simulation
8. Forecasting Individual NetFlows using a Predictive Masked Graph Autoencoder
9. AsyncCouple-Flow: Asynchronous Cross-Modal Coupling and Flow Matching for Spatio-Temporal Forecasting
10. Quantifying Spectral Differences in Vehicle Kinematics Between Production Autonomous and Human-Driven Vehicles Across Driving Scenarios
11. FAMoE-ST: Hierarchically Frozen Attention with Hybrid-Memory Experts for Traffic-Flow Forecasting
12. DKD-MARL: a data-knowledge dual-driven multi-agent reinforcement learning framework for traffic crash severity prediction
13. Event-Driven Topology Reconfiguration and Penetration-Aware Graph Attention for Mixed-Autonomy Traffic Forecasting
14. TransMoE: Multimodal traffic prediction with large language model and mixture of experts
15. Phase transition in lattice hydrodynamic model accounting for information interruption under connected autonomous vehicles conditions
16. General Semantic Knowledge Infusion for Spatio-Temporal Traffic Forecasting
17. STHMoE: Hypergraph-Enhanced Heterogeneous Dependency Coordination for LLM-Based Urban Traffic Data Forecasting
18. Driver Behavior Estimation at Signalized Intersections Using a Physics-Constrained Decision-Conditioned Autoregressive Transformer
19. Cross-region zero-shot bike-sharing demand prediction with transitive transfer learning using multi-modal public transit data
20. A Multi-Resolution Multi-Domain Pre-Training Framework for Universal Traffic Forecasting

Sub-Regions

• Autonomous Vehicle Technology and Safety — 31 papers
• Traffic Prediction and Management Techniques — 26 papers
• Machine Learning — 21 papers
• Smart Parking Systems Research — 17 papers
• Elevator Systems and Control — 9 papers
• Computer Vision and Pattern Recognition — 2 papers