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.

Xehetasun bibliografikoak
Egile Nagusiak: Faisal, Abu Fatah Mohammed, Zahid, Chowdhury Zaber Bin, Hasan, Walid Ibne, Talukder, Shuvo
Beste egile batzuk: Esfar-E-Alam, A.M.
Formatua: Thesis
Hizkuntza:English
Argitaratua: Brac University 2024
Gaiak:
Traffic congestion
Urban mobility
Machine learning
Traffic prediction
Traffic management
Traffic engineering > Data processing.
Traffic congestion > Prediction.
Traffic congestion > Prevention.
Sarrera elektronikoa:http://hdl.handle.net/10361/23938

Internet

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

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