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.

Xehetasun bibliografikoak
Egile Nagusiak:	Chowdhury, Md. Mohiuddin, Hasan, Mahmudul, Safait, Saimoom
Beste egile batzuk:	Uddin, Jia
Formatua:	Thesis
Hizkuntza:	English
Argitaratua:	BRAC University 2018
Gaiak:	Traffic congestion Traffic data Forecast Machine learning CMTF
Sarrera elektronikoa:	http://hdl.handle.net/10361/10121

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