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.

Xehetasun bibliografikoak
Egile Nagusiak:	Saquib, Muhammad Sadman, Ali, Mili Mohammad, Tazmim, Marisha, Ahmad, Faiyaaz
Beste egile batzuk:	Arif, Hossain
Formatua:	Thesis
Hizkuntza:	English
Argitaratua:	Brac University 2019
Gaiak:	Traffic congestion Congestion prediction Machine learning Regression analysis Intelligent Transport System (ITS) Correlation Logistic regression Traffic engineering. Traffic flow > Bangladesh > Management.
Sarrera elektronikoa:	http://hdl.handle.net/10361/12295

Antzeko izenburuak

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ইমারত নির্মাণের জন্য ট্রাফিক সার্কুলেশন ছাড়পত্র
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