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.

Dettagli Bibliografici
Autori principali:	Saquib, Muhammad Sadman, Ali, Mili Mohammad, Tazmim, Marisha, Ahmad, Faiyaaz
Altri autori:	Arif, Hossain
Natura:	Tesi
Lingua:	English
Pubblicazione:	Brac University 2019
Soggetti:	Traffic congestion Congestion prediction Machine learning Regression analysis Intelligent Transport System (ITS) Correlation Logistic regression Traffic engineering. Traffic flow > Bangladesh > Management.
Accesso online:	http://hdl.handle.net/10361/12295

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