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.
Κύριοι συγγραφείς: | Faisal, Abu Fatah Mohammed, Zahid, Chowdhury Zaber Bin, Hasan, Walid Ibne, Talukder, Shuvo |
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Άλλοι συγγραφείς: | Esfar-E-Alam, A.M. |
Μορφή: | Thesis |
Γλώσσα: | English |
Έκδοση: |
Brac University
2024
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Θέματα: | |
Διαθέσιμο Online: | http://hdl.handle.net/10361/23938 |
Παρόμοια τεκμήρια
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A novel approach to forecast traffic congestion using CMTF and machine learning
ανά: Chowdhury, Md. Mohiuddin, κ.ά.
Έκδοση: (2018) -
Application of machine learning techniques on the context of predicting upcoming traffic congestion and providing the best preferred path
ανά: Saquib, Muhammad Sadman, κ.ά.
Έκδοση: (2019) -
Traffic congestions in Dhaka and socio-economic development in Bangladesh: some micro and macro-level connections
ανά: Ahmed, Ansar
Έκδοση: (2017) -
Reducing traffic congestion through ride sharing in Bangladesh: a case study of Dhaka City
ανά: Mollah, Md Lokman Hossain
Έκδοση: (2021) -
BIGD Quarterly, October –December, 2016
ανά: BRAC Institute of Governance and Development, BRAC University
Έκδοση: (2019)