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Design of reinforcement learning for perimeter control using network transmission model based macroscopic traffic simulation
Perimeter control is an emerging alternative for traffic signal control, which regulates the traffic flows on the periphery of a road network. Some model-based approaches have been suggested earlier for the optimization of perimeter control based on macroscopic fundamental diagrams (MFDs). However,...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7392337/ https://www.ncbi.nlm.nih.gov/pubmed/32730334 http://dx.doi.org/10.1371/journal.pone.0236655 |