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
