Application of machine learning techniques on the context of predicting upcoming traffic congestion and providing the best preferred path

Application of machine learning techniques on the context of predicting upcoming traffic congestion and providing the best preferred path

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2019.

Bibliografske podrobnosti
Main Authors:	Saquib, Muhammad Sadman, Ali, Mili Mohammad, Tazmim, Marisha, Ahmad, Faiyaaz
Drugi avtorji:	Arif, Hossain
Format:	Thesis
Jezik:	English
Izdano:	Brac University 2019
Teme:	Traffic congestion Congestion prediction Machine learning Regression analysis Intelligent Transport System (ITS) Correlation Logistic regression Traffic engineering. Traffic flow > Bangladesh > Management.
Online dostop:	http://hdl.handle.net/10361/12295

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