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.

Bibliographische Detailangaben
Hauptverfasser: Saquib, Muhammad Sadman, Ali, Mili Mohammad, Tazmim, Marisha, Ahmad, Faiyaaz
Weitere Verfasser: Arif, Hossain
Format: Abschlussarbeit
Sprache:English
Veröffentlicht: Brac University 2019
Schlagworte:
Traffic congestion
Congestion prediction
Machine learning
Regression analysis
Intelligent Transport System (ITS)
Correlation
Logistic regression
Traffic engineering.
Traffic flow > Bangladesh > Management.
Online Zugang:http://hdl.handle.net/10361/12295

Online

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

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