A machine learning approach to predicting and mitigating traffic congestion
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2024.
المؤلفون الرئيسيون: | Faisal, Abu Fatah Mohammed, Zahid, Chowdhury Zaber Bin, Hasan, Walid Ibne, Talukder, Shuvo |
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مؤلفون آخرون: | Esfar-E-Alam, A.M. |
التنسيق: | أطروحة |
اللغة: | English |
منشور في: |
Brac University
2024
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الموضوعات: | |
الوصول للمادة أونلاين: | http://hdl.handle.net/10361/23938 |
مواد مشابهة
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A novel approach to forecast traffic congestion using CMTF and machine learning
بواسطة: Chowdhury, Md. Mohiuddin, وآخرون
منشور في: (2018) -
Application of machine learning techniques on the context of predicting upcoming traffic congestion and providing the best preferred path
بواسطة: Saquib, Muhammad Sadman, وآخرون
منشور في: (2019) -
Traffic congestions in Dhaka and socio-economic development in Bangladesh: some micro and macro-level connections
بواسطة: Ahmed, Ansar
منشور في: (2017) -
Reducing traffic congestion through ride sharing in Bangladesh: a case study of Dhaka City
بواسطة: Mollah, Md Lokman Hossain
منشور في: (2021) -
BIGD Quarterly, October –December, 2016
بواسطة: BRAC Institute of Governance and Development, BRAC University
منشور في: (2019)