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.

Библиографические подробности
Главные авторы:	Saquib, Muhammad Sadman, Ali, Mili Mohammad, Tazmim, Marisha, Ahmad, Faiyaaz
Другие авторы:	Arif, Hossain
Формат:	Диссертация
Язык:	English
Опубликовано:	Brac University 2019
Предметы:	Traffic congestion Congestion prediction Machine learning Regression analysis Intelligent Transport System (ITS) Correlation Logistic regression Traffic engineering. Traffic flow > Bangladesh > Management.
Online-ссылка:	http://hdl.handle.net/10361/12295

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