WebMay 13, 2024 · This motivates us to create a new traffic simulator CityFlow with fundamentally optimized data structures and efficient algorithms. 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. WebNov 3, 2024 · Huichu Zhang, Siyuan Feng, Chang Liu, Yaoyao Ding, Yichen Zhu, Zihan Zhou, Weinan Zhang, Yong Yu, Haiming Jin, and Zhenhui Li. 2024. CityFlow: A Multi-Agent Reinforcement Learning Environment for Large Scale City Traffic Scenario. In The World Wide Web Conference. ACM, 3620--3624. Google Scholar
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WebMar 21, 2024 · This work introduces CityFlow, a city-scale traffic camera dataset consisting of more than 3 hours of synchronized HD videos from 40 cameras across 10 intersections, with the longest distance between two simultaneous cameras being 2.5 km. To the best of our knowledge, CityFlow is the largest-scale dataset in terms of spatial coverage and the ... WebGo to CityFlow project’s root directory and run pip install . Wait for installation to complete and CityFlow should be successfully installed. import cityflow eng = cityflow.Engine For Windows Users ¶ For Windows users, it is recommended to run CityFlow under Windows Subsystem for Linux (WSL) or use docker. greenleaf fragrance diffuser wax
CityFlow/replay.rst at master · cityflow-project/CityFlow · …
WebMar 21, 2024 · Urban traffic optimization using traffic cameras as sensors is driving the need to advance state-of-the-art multi-target multi-camera (MTMC) tracking. This work introduces CityFlow, a city-scale traffic camera dataset consisting of more than 3 hours of synchronized HD videos from 40 cameras across 10 intersections, with the longest … WebFeb 1, 2024 · Here, if the number of generated samples is larger than the capacity (i.e., M S Z) of replay buffer M, to avoid overflow, M will replace the oldest sample with the newly generated one. Steps 14–18 update the action-value function (i.e., Q ) based on mini-batch samples (i.e., B of size E in step 14) randomly selected from the replay buffer. 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. Supports flexible definitions for road network and traffic flow fly from newcastle to cairns