caradryanl / CityBrainLab
Real-time Large-scale Urban Traffic Simulator. Simulate 1,000,000 vehicles in 100,000 intersections in 1:1 time ratio!
☆36Updated last year
Related projects ⓘ
Alternatives and complementary repositories for CityBrainLab
- PromptGAT: Prompt learning for Sim2Real under reinforcement learning☆23Updated 2 months ago
- ☆23Updated 3 years ago
- City Metro Network Expansion with Reinforcement Learning☆11Updated 4 years ago
- TransformerLight: A Novel Sequence Modeling Based Traffic Signaling Mechanism via Gated Transformer (29th ACM SIGKDD)☆21Updated last year
- Empower Traffic Simulation via Foundation Model☆23Updated last year
- Open-TI: Open Traffic Intelligence with Augmented Language Model☆13Updated 5 months ago
- Inductive Graph Reinforcement Learning for Massive-Scale Traffic Signal Control☆56Updated 2 years ago
- An Efficient and Realistic Traffic Simulator with Embedded Machine Learning Models☆13Updated 8 months ago
- TransSimHub is a lightweight Python library for simulating and controlling transportation systems.☆20Updated 2 months ago
- public code and data☆30Updated 2 years ago
- ☆114Updated 2 weeks ago
- Road Network Enhanced Trajectory Recovery with Spatial-Temporal Transformer (ICDE'23)☆32Updated 6 months ago
- Code for the KDD 2022 paper "Interpreting Trajectories from Multiple Views: A Hierarchical Self-Attention Network for Estimating the Time…☆13Updated 2 years ago
- code for "Data Might be Enough: Bridge Real-World Traffic Signal Control Using Offline Reinforcement Learning"☆10Updated 6 months ago
- ☆37Updated 6 months ago
- ☆14Updated 2 years ago
- Adds CityFlow to Gym☆27Updated 3 years ago
- ☆77Updated 3 years ago
- This is the official implementation of "Optimizing Large-Scale Fleet Management on a Road Network using Multi-Agent Deep Reinforcement Le…☆33Updated 2 years ago
- Source code of paper Combinatorial Optimization Meets Reinforcement Learning: Effective Taxi Order Dispatching at Large-Scale (TKDE 2022)…☆22Updated 2 years ago
- A large-scale simulation-based dynamic traffic assignment model of Melbourne☆8Updated 5 years ago
- ☆13Updated last year
- ☆10Updated 10 months ago
- ☆55Updated 4 years ago
- Context-Aware Taxi Dispatching at City-Scale Using Deep Reinforcement Learning☆62Updated last year
- The official implementation of "Activity Trajectory Generation via Modeling Spatiotemporal Dynamics"☆30Updated 10 months ago
- MetaLight: a value-based meta-reinforcement learning framework for traffic signal control☆36Updated 4 years ago
- Code for tasks on Cainiao-LaDe (Last-mile Delivery dataset).☆44Updated this week
- This repository contains the code for the paper "UniTSA: A Universal Reinforcement Learning Framework for V2X Traffic Signal Control".☆25Updated 5 months ago
- Multi-Agent Reinforcement Learning for Traffic Signal Control through Universal Communication Method☆33Updated last year