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Found 4 papers, 1 papers with code
Exploring the impact of traffic signal control and connected and automated vehicles on intersections safety: A deep reinforcement learning approach
The objective is to assess the individual and combined effects of CAVs and adaptive traffic signal control on traffic safety, considering rear-end and crossing conflicts.
Edge Video Analytics: A Survey on Applications, Systems and Enabling Techniques
Video, as a key driver in the global explosion of digital information, can create tremendous benefits for human society.
An Open-Source Framework for Adaptive Traffic Signal Control
The framework is used to first, investigate the performance variance of the modelled adaptive traffic signal controllers with respect to their hyperparameters and second, analyze the performance differences between controllers with optimal hyperparameters.
Using a Deep Reinforcement Learning Agent for Traffic Signal Control
We propose a new state space, the discrete traffic state encoding, which is information dense.
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