Papers with Code 아카이브
Traffic Signal Control
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Control traffic lights/signals to optimize traffic.
<span style="color:grey; opacity: 0.6">( Image credit: Flaticon )</span>
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
Multi-hop Upstream Anticipatory Traffic Signal Control with Deep Reinforcement Learning
DiffLight: A Partial Rewards Conditioned Diffusion Model for Traffic Signal Control with Missing Data
PyTSC: A Unified Platform for Multi-Agent Reinforcement Learning in Traffic Signal Control
Scalable Multi-Objective Optimization for Robust Traffic Signal Control in Uncertain Environments
Mitigating Partial Observability in Adaptive Traffic Signal Control with Transformers
Reinforcement Learning for Adaptive Traffic Signal Control: Turn-Based and Time-Based Approaches to Reduce Congestion
MalLight: Influence-Aware Coordinated Traffic Signal Control for Traffic Signal Malfunctions
SynTraC: A Synthetic Dataset for Traffic Signal Control from Traffic Monitoring Cameras
Adaptive traffic signal safety and efficiency improvement by multi objective deep reinforcement learning approach
MoveLight: Enhancing Traffic Signal Control through Movement-Centric Deep Reinforcement Learning
Phase Re-service in Reinforcement Learning Traffic Signal Control
GuideLight: "Industrial Solution" Guidance for More Practical Traffic Signal Control Agents
iLLM-TSC: Integration reinforcement learning and large language model for traffic signal control policy improvement
C-MP: A decentralized adaptive-coordinated traffic signal control using the Max Pressure framework
OCC-MP: A Max-Pressure framework to prioritize transit and high occupancy vehicles
From Single Agent to Multi-Agent: Improving Traffic Signal Control
A GPU-accelerated Large-scale Simulator for Transportation System Optimization Benchmarking
Traffic Signal Cycle Control with Centralized Critic and Decentralized Actors under Varying Intervention Frequencies
CityLight: A Universal Model for Coordinated Traffic Signal Control in City-scale Heterogeneous Intersections
Exploring the impact of traffic signal control and connected and automated vehicles on intersections safety: A deep reinforcement learning approach
CoSLight: Co-optimizing Collaborator Selection and Decision-making to Enhance Traffic Signal Control
Distributed Traffic Signal Control via Coordinated Maximum Pressure-plus-Penalty
Uninterrupted Maximum Flow on Signalized Traffic Networks
X-Light: Cross-City Traffic Signal Control Using Transformer on Transformer as Meta Multi-Agent Reinforcement Learner
Towards Multi-agent Reinforcement Learning based Traffic Signal Control through Spatio-temporal Hypergraphs
Traffic Signal Control and Speed Offset Coordination Using Q-Learning for Arterial Road Networks
MTLight: Efficient Multi-Task Reinforcement Learning for Traffic Signal Control
Learning Traffic Signal Control via Genetic Programming
LLM-Assisted Light: Leveraging Large Language Model Capabilities for Human-Mimetic Traffic Signal Control in Complex Urban Environments
A Holistic Framework Towards Vision-based Traffic Signal Control with Microscopic Simulation
Distributed Traffic Signal Control of Interconnected Intersections: A Two-Lane Traffic Network Model
CycLight: learning traffic signal cooperation with a cycle-level strategy
A Survey on Graph Neural Networks in Intelligent Transportation Systems
Open-TI: Open Traffic Intelligence with Augmented Language Model
LLMLight: Large Language Models as Traffic Signal Control Agents
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.