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.

Bibliografiset tiedot
Päätekijät: Saquib, Muhammad Sadman, Ali, Mili Mohammad, Tazmim, Marisha, Ahmad, Faiyaaz
Muut tekijät: Arif, Hossain
Aineistotyyppi: Opinnäyte
Kieli:English
Julkaistu: Brac University 2019
Aiheet:
Traffic congestion
Congestion prediction
Machine learning
Regression analysis
Intelligent Transport System (ITS)
Correlation
Logistic regression
Traffic engineering.
Traffic flow > Bangladesh > Management.
Linkit:http://hdl.handle.net/10361/12295

Internet

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

Samankaltaisia teoksia