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.

Détails bibliographiques
Auteurs principaux: Saquib, Muhammad Sadman, Ali, Mili Mohammad, Tazmim, Marisha, Ahmad, Faiyaaz
Autres auteurs: Arif, Hossain
Format: Thèse
Langue:English
Publié: Brac University 2019
Sujets:
Traffic congestion
Congestion prediction
Machine learning
Regression analysis
Intelligent Transport System (ITS)
Correlation
Logistic regression
Traffic engineering.
Traffic flow > Bangladesh > Management.
Accès en ligne:http://hdl.handle.net/10361/12295

Internet

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

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