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Capable of simulating city-wide traffic. See the performance comparison with SUMO [#sumo]_.\n\n.. figure:: https://user-images.githubusercontent.com/44251346/54403537-5ce16b00-470b-11e9-928d-76c8ba0ab463.png\n :align: center\n :alt: performance compared with SUMO\n\n Performance comparison between CityFlow with different number of threads (1, 2, 4, 8) and SUMO. From small 1x1 grid roadnet to city-level 30x30 roadnet. Even faster when you need to interact with the simulator through python API.\n\nScreencast\n----------\n\n.. figure:: https://user-images.githubusercontent.com/44251346/62375390-c9e98600-b570-11e9-8808-e13dbe776f1e.gif\n :align: center\n :alt: demo\n\nFeatured Research and Projects Using CityFlow\n---------------------------------------------\n- `PressLight: Learning Max Pressure Control to Coordinate Traffic Signals in Arterial Network (KDD 2019) `_\n- `CoLight: Learning Network-level Cooperation for Traffic Signal Control `_\n- `Traffic Signal Control Benchmark `_\n- `TSCC2050: A Traffic Signal Control Game by Tianrang Intelligence (in Chinese) `_ [#tianrang]_\n\nLinks\n-----\n\n- `WWW 2019 Demo Paper `_\n- `Home Page `_\n- `Documentation and Quick Start `_\n- `Docker `_\n\n\n.. [#sumo] `SUMO home page `_\n.. 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cityflowproject/cityflow

Tags for cityflowproject/cityflow