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.

Dades bibliogràfiques
Autors principals: Saquib, Muhammad Sadman, Ali, Mili Mohammad, Tazmim, Marisha, Ahmad, Faiyaaz
Altres autors: Arif, Hossain
Format: Thesis
Idioma:English
Publicat: Brac University 2019
Matèries:
Traffic congestion
Congestion prediction
Machine learning
Regression analysis
Intelligent Transport System (ITS)
Correlation
Logistic regression
Traffic engineering.
Traffic flow > Bangladesh > Management.
Accés en línia:http://hdl.handle.net/10361/12295

Internet

http://hdl.handle.net/10361/12295

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