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.

Opis bibliograficzny
Główni autorzy:	Faisal, Abu Fatah Mohammed, Zahid, Chowdhury Zaber Bin, Hasan, Walid Ibne, Talukder, Shuvo
Kolejni autorzy:	Esfar-E-Alam, A.M.
Format:	Praca dyplomowa
Język:	English
Wydane:	Brac University 2024
Hasła przedmiotowe:	Traffic congestion Urban mobility Machine learning Traffic prediction Traffic management Traffic engineering > Data processing. Traffic congestion > Prediction. Traffic congestion > Prevention.
Dostęp online:	http://hdl.handle.net/10361/23938

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