A novel approach to forecast traffic congestion using CMTF and machine learning

A novel approach to forecast traffic congestion using CMTF and machine learning

This thesis is submitted in partial fulfilment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2018.

Библиографические подробности
Главные авторы:	Chowdhury, Md. Mohiuddin, Hasan, Mahmudul, Safait, Saimoom
Другие авторы:	Uddin, Jia
Формат:	Диссертация
Язык:	English
Опубликовано:	BRAC University 2018
Предметы:	Traffic congestion Traffic data Forecast Machine learning CMTF
Online-ссылка:	http://hdl.handle.net/10361/10121

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