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.

Bibliografiska uppgifter
Huvudupphovsmän: Saquib, Muhammad Sadman, Ali, Mili Mohammad, Tazmim, Marisha, Ahmad, Faiyaaz
Övriga upphovsmän: Arif, Hossain
Materialtyp: Lärdomsprov
Språk:English
Publicerad: Brac University 2019
Ämnen:
Traffic congestion
Congestion prediction
Machine learning
Regression analysis
Intelligent Transport System (ITS)
Correlation
Logistic regression
Traffic engineering.
Traffic flow > Bangladesh > Management.
Länkar:http://hdl.handle.net/10361/12295

Internet

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

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