A machine learning approach to predicting and mitigating traffic congestion

A machine learning approach to predicting and mitigating traffic congestion

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2024.

Detalles Bibliográficos
Autores principales: Faisal, Abu Fatah Mohammed, Zahid, Chowdhury Zaber Bin, Hasan, Walid Ibne, Talukder, Shuvo
Otros Autores: Esfar-E-Alam, A.M.
Formato: Tesis
Lenguaje:English
Publicado: Brac University 2024
Materias:
Traffic congestion
Urban mobility
Machine learning
Traffic prediction
Traffic management
Traffic engineering > Data processing.
Traffic congestion > Prediction.
Traffic congestion > Prevention.
Acceso en línea:http://hdl.handle.net/10361/23938

Internet

http://hdl.handle.net/10361/23938

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