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.

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριοι συγγραφείς: Saquib, Muhammad Sadman, Ali, Mili Mohammad, Tazmim, Marisha, Ahmad, Faiyaaz
Άλλοι συγγραφείς: Arif, Hossain
Μορφή: Thesis
Γλώσσα:English
Έκδοση: Brac University 2019
Θέματα:
Traffic congestion
Congestion prediction
Machine learning
Regression analysis
Intelligent Transport System (ITS)
Correlation
Logistic regression
Traffic engineering.
Traffic flow > Bangladesh > Management.
Διαθέσιμο Online:http://hdl.handle.net/10361/12295

Διαδίκτυο

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

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