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.

מידע ביבליוגרפי
Main Authors: Saquib, Muhammad Sadman, Ali, Mili Mohammad, Tazmim, Marisha, Ahmad, Faiyaaz
מחברים אחרים: Arif, Hossain
פורמט: Thesis
שפה:English
יצא לאור: Brac University 2019
נושאים:
Traffic congestion
Congestion prediction
Machine learning
Regression analysis
Intelligent Transport System (ITS)
Correlation
Logistic regression
Traffic engineering.
Traffic flow > Bangladesh > Management.
גישה מקוונת:http://hdl.handle.net/10361/12295

אינטרנט

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

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