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.

Détails bibliographiques
Auteurs principaux: Faisal, Abu Fatah Mohammed, Zahid, Chowdhury Zaber Bin, Hasan, Walid Ibne, Talukder, Shuvo
Autres auteurs: Esfar-E-Alam, A.M.
Format: Thèse
Langue:English
Publié: Brac University 2024
Sujets:
Traffic congestion
Urban mobility
Machine learning
Traffic prediction
Traffic management
Traffic engineering > Data processing.
Traffic congestion > Prediction.
Traffic congestion > Prevention.
Accès en ligne:http://hdl.handle.net/10361/23938

Internet

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

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