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.

Dettagli Bibliografici
Autori principali:	Faisal, Abu Fatah Mohammed, Zahid, Chowdhury Zaber Bin, Hasan, Walid Ibne, Talukder, Shuvo
Altri autori:	Esfar-E-Alam, A.M.
Natura:	Tesi
Lingua:	English
Pubblicazione:	Brac University 2024
Soggetti:	Traffic congestion Urban mobility Machine learning Traffic prediction Traffic management Traffic engineering > Data processing. Traffic congestion > Prediction. Traffic congestion > Prevention.
Accesso online:	http://hdl.handle.net/10361/23938

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