Latest Research in Traffic control and management
30 research papers · 0.0 average citations · 2026 median publication year
Top Research Topics in Traffic control and management
- Traffic control and management — 10 papers
- Autonomous Vehicle Technology and Safety — 4 papers
- Robotics — 3 papers
- Machine Learning — 3 papers
- Artificial Intelligence — 2 papers
- Systems and Control — 2 papers
- Computer Vision and Pattern Recognition — 2 papers
- Human Mobility and Location-Based Analysis — 1 papers
- Multiagent Systems — 1 papers
- Networking and Internet Architecture — 1 papers
Highest-Cited Papers
- Explainable deep learning improves human mental models of self-driving cars (1 citations)
- SmartSwitchLight: Interpretable multi-agent reinforcement learning for adaptive traffic signal control via generative artificial intelligence based supervisory decision making
- A framework for benchmarking traffic signal control robustness under incidents: comparative study of reinforcement learning-based methods
- Hybrid-RL-RB: A Constraint-Aware Reinforcement Learning and Rule-Based Algorithm for Multi-Intersection Traffic Signal Control
- A Map-Aware Destination Prediction Model for Location-Based Consumer Electronics
- TrafficGamer: Reliable and Flexible Traffic Simulation for Safety-Critical Scenarios with Game-Theoretic Oracles
- MulRobBench: A Decision-Level Benchmark for Safe and Security-Policy-Compliant Multimodal UAV Agents
- LLM-Driven Signal Control Method for Signalized Intersections with Mixed Traffic Flow
- Multi-Agent Deep Reinforcement Learning for Regional Traffic Signal Control Based on Dynamic Weight Decomposition
- Real-Time Pedestrian Crossing Intent Prediction and Risk Assessment Framework Using Skeleton Graph Convolutional Networks
- Stabilizing Traffic Flow Via Autonomous Vehicles: A Less Conservative Approach
- TrajFusionNet+: Transformer-Based Prediction of Pedestrian Crossing Intention via Fusion of Trajectory Representations and Scene Graphs
- Multi-agent meta-reinforcement learning based on contrastive predictive coding—For rapid adaptive traffic control after emergencies
- Traffic smoothing through automated vehicle control with optimal parameter selection
- When context is not enough: Modeling unexplained variability in car-following behavior
- Hyperspectral Trajectory Image for Multi-Month Trajectory Anomaly Detection
- Task-Oriented Semantic Communication for Hazard Warning and Remote Operation in Connected Vehicle Platoons
- Coupling response mechanism between the operational state of arterial traffic flow and carbon emissions under the goal of urban energy conservation and emission reduction
- CoLMIN: LLM-based Multi-Decision Path Negotiation for Cooperative Autonomous Driving
- TraveL: Transformer-based Multi-view Path Distributional Representation Learning