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.

Bibliographische Detailangaben
Hauptverfasser:	Faisal, Abu Fatah Mohammed, Zahid, Chowdhury Zaber Bin, Hasan, Walid Ibne, Talukder, Shuvo
Weitere Verfasser:	Esfar-E-Alam, A.M.
Format:	Abschlussarbeit
Sprache:	English
Veröffentlicht:	Brac University 2024
Schlagworte:	Traffic congestion Urban mobility Machine learning Traffic prediction Traffic management Traffic engineering > Data processing. Traffic congestion > Prediction. Traffic congestion > Prevention.
Online Zugang:	http://hdl.handle.net/10361/23938

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