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.

Chi tiết về thư mục
Những tác giả chính:	Saquib, Muhammad Sadman, Ali, Mili Mohammad, Tazmim, Marisha, Ahmad, Faiyaaz
Tác giả khác:	Arif, Hossain
Định dạng:	Luận văn
Ngôn ngữ:	English
Được phát hành:	Brac University 2019
Những chủ đề:	Traffic congestion Congestion prediction Machine learning Regression analysis Intelligent Transport System (ITS) Correlation Logistic regression Traffic engineering. Traffic flow > Bangladesh > Management.
Truy cập trực tuyến:	http://hdl.handle.net/10361/12295

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