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 |
---|---|
Outros Autores: | Esfar-E-Alam, A.M. |
Formato: | Thesis |
Idioma: | English |
Publicado em: |
Brac University
2024
|
Assuntos: | |
Acesso em linha: | http://hdl.handle.net/10361/23938 |
Registos relacionados
-
A novel approach to forecast traffic congestion using CMTF and machine learning
Por: Chowdhury, Md. Mohiuddin, et al.
Publicado em: (2018) -
Application of machine learning techniques on the context of predicting upcoming traffic congestion and providing the best preferred path
Por: Saquib, Muhammad Sadman, et al.
Publicado em: (2019) -
Traffic congestions in Dhaka and socio-economic development in Bangladesh: some micro and macro-level connections
Por: Ahmed, Ansar
Publicado em: (2017) -
Reducing traffic congestion through ride sharing in Bangladesh: a case study of Dhaka City
Por: Mollah, Md Lokman Hossain
Publicado em: (2021) -
BIGD Quarterly, October –December, 2016
Por: BRAC Institute of Governance and Development, BRAC University
Publicado em: (2019)