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.
Prif Awduron: | Faisal, Abu Fatah Mohammed, Zahid, Chowdhury Zaber Bin, Hasan, Walid Ibne, Talukder, Shuvo |
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Awduron Eraill: | Esfar-E-Alam, A.M. |
Fformat: | Traethawd Ymchwil |
Iaith: | English |
Cyhoeddwyd: |
Brac University
2024
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Pynciau: | |
Mynediad Ar-lein: | http://hdl.handle.net/10361/23938 |
Eitemau Tebyg
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A novel approach to forecast traffic congestion using CMTF and machine learning
gan: Chowdhury, Md. Mohiuddin, et al.
Cyhoeddwyd: (2018) -
Application of machine learning techniques on the context of predicting upcoming traffic congestion and providing the best preferred path
gan: Saquib, Muhammad Sadman, et al.
Cyhoeddwyd: (2019) -
Traffic congestions in Dhaka and socio-economic development in Bangladesh: some micro and macro-level connections
gan: Ahmed, Ansar
Cyhoeddwyd: (2017) -
Reducing traffic congestion through ride sharing in Bangladesh: a case study of Dhaka City
gan: Mollah, Md Lokman Hossain
Cyhoeddwyd: (2021) -
BIGD Quarterly, October –December, 2016
gan: BRAC Institute of Governance and Development, BRAC University
Cyhoeddwyd: (2019)