arXiv:2109.10181
Intelligent Traffic Control System by Using Image Information
원문 초록
This paper implements a traffic signal control system by using real-time traffic flow feedback. This system is designed to deal with two-lane intersections. We construct an experiment field similar to the roads and drivers in Taiwan using an autonomous simulation software called Virtual Test Drive (VTD) released by MSC Software. We erect four cameras on the side of the roads to get the image of the intersection, then transfer the image information into traffic flow information. Analyze the traffic information in each lane by using Greenshields traffic flow model. Control the traffic signals by using Webster's method to increase the performance and soothe the traffic.
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A Parallel Hybrid Action Space Reinforcement Learning Model for Real-world Adaptive Traffic Signal Control
CoLLMLight: Cooperative Large Language Model Agents for Network-Wide Traffic Signal Control
MacLight: Multi-scene Aggregation Convolutional Learning for Traffic Signal Control
토론
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