Machine Learning Model Application and Comparison in Actuated Traffic Signal Forecasting

Traffic signal forecasting plays a significant role in intelligent traffic systems since it can predict upcoming traffic signal without using traditional radio-based direct communication with infrastructures, which causes high risk in the communication security. Previously, mathematical and statisti...

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Detalles Bibliográficos
Autores principales: Xie, Feng, Naumann, Sebastian, Czogalla, Olaf, Zadek, Hartmut
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10422400/
https://www.ncbi.nlm.nih.gov/pubmed/37571702
http://dx.doi.org/10.3390/s23156912

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10422400/
https://www.ncbi.nlm.nih.gov/pubmed/37571702
http://dx.doi.org/10.3390/s23156912

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