WebMay 13, 2024 · CityFlow: A Multi-Agent Reinforcement Learning Environment for Large Scale City Traffic Scenario Pages 3620–3624 ABSTRACT Traffic signal control is an emerging application scenario for reinforcement learning. WebCityFlow is a new designed open-source traffic simulator, which is much faster than SUMO (Simulation of Urban Mobility). CityFlow can support flexible definitions for road network and traffic flow based on synthetic and real-world data. It also provides user-friendly interface for reinforcement learning.
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WebCityFlow 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. support flexible definitions for road network and traffic flow WebNov 20, 2024 · Go to file. regob configs updated to the new algorithm, camera layout can be null too. Latest commit c4bf981 on Nov 20, 2024 History. 1 contributor. 51 lines (49 sloc) 2 KB. Raw Blame. OUTPUT_DIR: "output/cityflow_s01". DEBUG_RUN: false. hilary waters sintons
CityFlow: A Multi-Agent Reinforcement Learning Environment …
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