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.
Main Authors: | Faisal, Abu Fatah Mohammed, Zahid, Chowdhury Zaber Bin, Hasan, Walid Ibne, Talukder, Shuvo |
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מחברים אחרים: | Esfar-E-Alam, A.M. |
פורמט: | Thesis |
שפה: | English |
יצא לאור: |
Brac University
2024
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נושאים: | |
גישה מקוונת: | http://hdl.handle.net/10361/23938 |
פריטים דומים
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A novel approach to forecast traffic congestion using CMTF and machine learning
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יצא לאור: (2018) -
Application of machine learning techniques on the context of predicting upcoming traffic congestion and providing the best preferred path
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Traffic congestions in Dhaka and socio-economic development in Bangladesh: some micro and macro-level connections
מאת: Ahmed, Ansar
יצא לאור: (2017) -
Reducing traffic congestion through ride sharing in Bangladesh: a case study of Dhaka City
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יצא לאור: (2021) -
BIGD Quarterly, October –December, 2016
מאת: BRAC Institute of Governance and Development, BRAC University
יצא לאור: (2019)