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Traffic Signal Control

Control traffic lights/signals to optimize traffic.

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Papers

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Showing 26–50 of 201 papers

TitleStatusHype
Leveraging Queue Length and Attention Mechanisms for Enhanced Traffic Signal Control OptimizationCode1
Expression might be enough: representing pressure and demand for reinforcement learning based traffic signal controlCode1
Efficient Pressure: Improving efficiency for signalized intersectionsCode1
Deep Reinforcement Q-Learning for Intelligent Traffic Signal Control with Partial DetectionCode1
Independent Reinforcement Learning for Weakly Cooperative Multiagent Traffic Control ProblemCode1
Towards Real-World Deployment of Reinforcement Learning for Traffic Signal ControlCode1
MetaVIM: Meta Variationally Intrinsic Motivated Reinforcement Learning for Decentralized Traffic Signal ControlCode1
IG-RL: Inductive Graph Reinforcement Learning for Massive-Scale Traffic Signal ControlCode1
Learning Scalable Multi-Agent Coordination by Spatial Differentiation for Traffic Signal ControlCode1
CoLight: Learning Network-level Cooperation for Traffic Signal ControlCode1
HiLight: A Hierarchical Reinforcement Learning Framework with Global Adversarial Guidance for Large-Scale Traffic Signal Control—0
Robustness of Reinforcement Learning-Based Traffic Signal Control under Incidents: A Comparative Study—0
VLMLight: Traffic Signal Control via Vision-Language Meta-Control and Dual-Branch Reasoning—0
CV-MP: Max-Pressure Control in Heterogeneously Distributed and Partially Connected Vehicle Environments—0
Dynamic Location Search for Identifying Maximum Weighted Independent Sets in Complex Networks—0
Federated Hierarchical Reinforcement Learning for Adaptive Traffic Signal Control—0
Safe and Efficient Coexistence of Autonomous Vehicles with Human-Driven Traffic at Signalized Intersections—0
Generalized Phase Pressure Control Enhanced Reinforcement Learning for Traffic Signal ControlCode0
Domain Adaptation Framework for Turning Movement Count Estimation with Limited Data—0
A Parallel Hybrid Action Space Reinforcement Learning Model for Real-world Adaptive Traffic Signal ControlCode0
Unicorn: A Universal and Collaborative Reinforcement Learning Approach Towards Generalizable Network-Wide Traffic Signal Control—0
Adaptive model predictive control for traffic signal timing with unknown demand and parameters—0
Large-scale Regional Traffic Signal Control Based on Single-Agent Reinforcement Learning—0
Enhancing Traffic Signal Control through Model-based Reinforcement Learning and Policy Reuse—0
Using a single actor to output personalized policy for different intersections—0
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