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.

Dades bibliogràfiques
Autors principals:	Faisal, Abu Fatah Mohammed, Zahid, Chowdhury Zaber Bin, Hasan, Walid Ibne, Talukder, Shuvo
Altres autors:	Esfar-E-Alam, A.M.
Format:	Thesis
Idioma:	English
Publicat:	Brac University 2024
Matèries:	Traffic congestion Urban mobility Machine learning Traffic prediction Traffic management Traffic engineering > Data processing. Traffic congestion > Prediction. Traffic congestion > Prevention.
Accés en línia:	http://hdl.handle.net/10361/23938

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