Latest Research in Urban Traffic Flow Optimization

Top Research Topics in Urban Traffic Flow Optimization

• Traffic control and management — 27 papers
• Traffic Prediction and Management Techniques — 19 papers
• Autonomous Vehicle Technology and Safety — 11 papers
• Machine Learning — 10 papers
• Computer Vision and Pattern Recognition — 10 papers
• Robotics — 9 papers
• Artificial Intelligence — 6 papers
• Physics and Society — 4 papers
• Systems and Control — 4 papers
• Traffic and Road Safety — 4 papers

Highest-Cited Papers

1. Your Ride, Your Rules:Psychology and Cognition Enabled Automated Driving Systems (1 citations)
2. Short-Term Traffic Speed Prediction Integrating Traffic Flow Theory for Enhanced Urban Congestion Mitigation
3. Physics-guided machine learning for traffic-flow prediction and operating-regime attribution on a desert heavy-duty expressway
4. SCAFFOLD-Enhanced Federated Edge Intelligence for Urban Traffic Signal Optimisation under Non-IID Mobility Conditions
5. SCAFFOLD-Enhanced Federated Edge Intelligence for Urban Traffic Signal Optimisation under Non-IID Mobility Conditions
6. Modeling vehicle behavior in two-dimensional driving scenarios considering collision risk stimulus and real-time interaction
7. THEORETICAL FOUNDATIONS AND IMPLEMENTATION OPPORTUNITIES OF ARTIFICIAL INTELLIGENCE AND COMPUTER VISION TECHNOLOGIES IN AUTOMATING METROPOLITAN ESCALATORS.
8. Large-scale sensing for driving regimes using in-vehicle data: unsupervised and supervised approaches
9. Research on the influence of rainfall characteristics on driver visual distance under low-light conditions at night
10. SMHF: State-conditioned Mamba-hypernetwork framework for pedestrian volume estimation under observation sparsity
11. From Intent to Action: Benchmarking LLM Safety in Vehicle Voice Command Authorization
12. REARL: A Closed-loop Autonomous Driving Simulation Enhancement Framework with Real Traffic Data and Large Language Models
13. Calming traffic in unsignalized bidirectional streets by introducing one-lane bottlenecks
14. On the quantification of the spatiotemporal impact of a single discretionary lane change on upstream traffic safety and efficiency
15. The SkySentience conceptual framework for accountable drone decision support in public safety
16. Investigating Drivers’ Heterogeneity and Its Impacts on Interactive Lane-Changing Maneuvers
17. Sim-to-Real Traffic Scene Understanding by Decoupling Semantics from Caption Generation with V-JEPA
18. From Detection to Understanding: TAR and TAR-Bench for Multi-Task Traffic Anomaly Reasoning
19. Learning Sequential Mobility Choice: A Review of Route and Activity Choice through Inverse Reinforcement Learning and Imitation Learning
20. DriveMCP: An Agentic AI framework for Advanced Driver Assistance System

Sub-Regions

• Physics and Society — 54 papers
• Computer Vision and Pattern Recognition — 35 papers
• Traffic Prediction and Management Techniques — 32 papers
• Traffic control and management — 20 papers
• Artificial Intelligence — 12 papers
• Robotics — 11 papers