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.

Opis bibliograficzny
Główni autorzy:	Chowdhury, Md. Mohiuddin, Hasan, Mahmudul, Safait, Saimoom
Kolejni autorzy:	Uddin, Jia
Format:	Praca dyplomowa
Język:	English
Wydane:	BRAC University 2018
Hasła przedmiotowe:	Traffic congestion Traffic data Forecast Machine learning CMTF
Dostęp online:	http://hdl.handle.net/10361/10121

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