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.

Detaylı Bibliyografya
Asıl Yazarlar: Saquib, Muhammad Sadman, Ali, Mili Mohammad, Tazmim, Marisha, Ahmad, Faiyaaz
Diğer Yazarlar: Arif, Hossain
Materyal Türü: Tez
Dil:English
Baskı/Yayın Bilgisi: Brac University 2019
Konular:
Traffic congestion
Congestion prediction
Machine learning
Regression analysis
Intelligent Transport System (ITS)
Correlation
Logistic regression
Traffic engineering.
Traffic flow > Bangladesh > Management.
Online Erişim:http://hdl.handle.net/10361/12295

Internet

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

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