CityFlow is a multi-agent reinforcement learning environment for large-scale city traffic scenario.

Checkout these features!

• A microscopic traffic simulator which simulates the behavior of each vehicle, providing highest level detail of traffic evolution.
• Supports flexible definitions for road network and traffic flow
• Provides friendly python interface for reinforcement learning
• Fast! Elaborately designed data structure and simulation algorithm with multithreading. Capable of simulating city-wide traffic. See the performance comparison with SUMO¹.

• PressLight: Learning Max Pressure Control to Coordinate Traffic Signals in Arterial Network (KDD 2019)
• CoLight: Learning Network-level Cooperation for Traffic Signal Control
• Traffic Signal Control Benchmark
• TSCC2050: A Traffic Signal Control Game by Tianrang Intelligence (in Chinese)²

• WWW 2019 Demo Paper
• Home Page
• Documentation and Quick Start
• Docker