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>

코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/liangzhang1996/efficient_xlight

공식 코드

Efficient Pressure: Improving efficiency for signalized intersections

https://github.com/limengbinggz/cusum-rl

공식 코드

Testing Stationarity and Change Point Detection in Reinforcement Learning

https://github.com/lokol5579/DiffLight-release

공식 코드

DiffLight: A Partial Rewards Conditioned Diffusion Model for Traffic Signal Control with Missing Data

https://github.com/lujiaming-12138/dualight

공식 코드

DuaLight: Enhancing Traffic Signal Control by Leveraging Scenario-Specific and Scenario-Shared Knowledge

https://github.com/oneday88/kddcup2021cbcbingo

공식 코드

DQN Control Solution for KDD Cup 2021 City Brain Challenge

https://github.com/poudel-bibek/Urban-Control

공식 코드

Joint Pedestrian and Vehicle Traffic Optimization in Urban Environments using Reinforcement Learning

https://github.com/rbokade/pytsc

공식 코드

PyTSC: A Unified Platform for Multi-Agent Reinforcement Learning in Traffic Signal Control

https://github.com/rl-ina/lemgorl

공식 코드

Towards Real-World Deployment of Reinforcement Learning for Traffic Signal Control

https://github.com/romainducrocq/dqn-itscwpd

공식 코드

Deep Reinforcement Q-Learning for Intelligent Traffic Signal Control with Partial Detection

https://github.com/shawlen/dtignn

공식 코드

Modeling Network-level Traffic Flow Transitions on Sparse Data

https://github.com/traffic-alpha/illm-tsc

공식 코드

iLLM-TSC: Integration reinforcement learning and large language model for traffic signal control policy improvement

https://github.com/traffic-alpha/llm-assisted-light

공식 코드

LLM-Assisted Light: Leveraging Large Language Model Capabilities for Human-Mimetic Traffic Signal Control in Complex Urban Environments

https://github.com/tsinghua-fib-lab/moss

공식 코드

A GPU-accelerated Large-scale Simulator for Transportation System Optimization Benchmarking

https://github.com/usail-hkust/CoLLMLight

공식 코드

CoLLMLight: Cooperative Large Language Model Agents for Network-Wide Traffic Signal Control

https://github.com/usail-hkust/llmtscs

공식 코드

LLMLight: Large Language Models as Traffic Signal Control Agents

https://github.com/vita-group/dept

공식 코드

Delayed Propagation Transformer: A Universal Computation Engine towards Practical Control in Cyber-Physical Systems

https://github.com/wingsweihua/colight

공식 코드

CoLight: Learning Network-level Cooperation for Traffic Signal Control

https://github.com/wmn7/universal_light

공식 코드

UniTSA: A Universal Reinforcement Learning Framework for V2X Traffic Signal Control

https://github.com/xingshuaihuang/dtlight

공식 코드

Traffic Signal Control Using Lightweight Transformers: An Offline-to-Online RL Approach

https://github.com/zcchenvy/CIL-DDQN

공식 코드

Independent Reinforcement Learning for Weakly Cooperative Multiagent Traffic Control Problem

https://github.com/zhouhao0605/signal_control_paper

공식 코드

Congested Urban Networks Tend to Be Insensitive to Signal Settings: Implications for Learning-Based Control

https://github.com/zhuliwen/roadnetsz

공식 코드

MetaVIM: Meta Variationally Intrinsic Motivated Reinforcement Learning for Decentralized Traffic Signal Control

https://github.com/zyr17/unilight

공식 코드

Multi-Agent Reinforcement Learning for Traffic Signal Control through Universal Communication Method

https://gitlab.com/wenlu057/traffic-safety

공식 코드

SafeLight: A Reinforcement Learning Method toward Collision-free Traffic Signal Control

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