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.

Podrobná bibliografie
Hlavní autoři: Faisal, Abu Fatah Mohammed, Zahid, Chowdhury Zaber Bin, Hasan, Walid Ibne, Talukder, Shuvo
Další autoři: Esfar-E-Alam, A.M.
Médium: Diplomová práce
Jazyk:English
Vydáno: Brac University 2024
Témata:
Traffic congestion
Urban mobility
Machine learning
Traffic prediction
Traffic management
Traffic engineering > Data processing.
Traffic congestion > Prediction.
Traffic congestion > Prevention.
On-line přístup:http://hdl.handle.net/10361/23938

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