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.

Библиографические подробности
Главные авторы: Faisal, Abu Fatah Mohammed, Zahid, Chowdhury Zaber Bin, Hasan, Walid Ibne, Talukder, Shuvo
Другие авторы: Esfar-E-Alam, A.M.
Формат: Диссертация
Язык:English
Опубликовано: Brac University 2024
Предметы:
Traffic congestion
Urban mobility
Machine learning
Traffic prediction
Traffic management
Traffic engineering > Data processing.
Traffic congestion > Prediction.
Traffic congestion > Prevention.
Online-ссылка:http://hdl.handle.net/10361/23938

Internet

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

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