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.

التفاصيل البيبلوغرافية
المؤلفون الرئيسيون: Saquib, Muhammad Sadman, Ali, Mili Mohammad, Tazmim, Marisha, Ahmad, Faiyaaz
مؤلفون آخرون: Arif, Hossain
التنسيق: أطروحة
اللغة:English
منشور في: Brac University 2019
الموضوعات:
Traffic congestion
Congestion prediction
Machine learning
Regression analysis
Intelligent Transport System (ITS)
Correlation
Logistic regression
Traffic engineering.
Traffic flow > Bangladesh > Management.
الوصول للمادة أونلاين:http://hdl.handle.net/10361/12295

الانترنت

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

مواد مشابهة