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Biased Pressure: Cyclic Reinforcement Learning Model for Intelligent Traffic Signal Control
Existing inefficient traffic signal plans are causing traffic congestions in many urban areas. In recent years, many deep reinforcement learning (RL) methods have been proposed to control traffic signals in real-time by interacting with the environment. However, most of existing state-of-the-art RL...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2022
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9002556/ https://www.ncbi.nlm.nih.gov/pubmed/35408431 http://dx.doi.org/10.3390/s22072818 |