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.

Bibliografski detalji
Glavni autori: Faisal, Abu Fatah Mohammed, Zahid, Chowdhury Zaber Bin, Hasan, Walid Ibne, Talukder, Shuvo
Daljnji autori: Esfar-E-Alam, A.M.
Format: Disertacija
Jezik:English
Izdano: Brac University 2024
Teme:
Traffic congestion
Urban mobility
Machine learning
Traffic prediction
Traffic management
Traffic engineering > Data processing.
Traffic congestion > Prediction.
Traffic congestion > Prevention.
Online pristup:http://hdl.handle.net/10361/23938

Internet

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

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