A novel approach to forecast traffic congestion using CMTF and machine learning
This thesis is submitted in partial fulfilment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2018.
Glavni autori: | Chowdhury, Md. Mohiuddin, Hasan, Mahmudul, Safait, Saimoom |
---|---|
Daljnji autori: | Uddin, Jia |
Format: | Disertacija |
Jezik: | English |
Izdano: |
BRAC University
2018
|
Teme: | |
Online pristup: | http://hdl.handle.net/10361/10121 |
Similar Items
-
A machine learning approach to predicting and mitigating traffic congestion
od: Faisal, Abu Fatah Mohammed, i dr.
Izdano: (2024) -
Application of machine learning techniques on the context of predicting upcoming traffic congestion and providing the best preferred path
od: Saquib, Muhammad Sadman, i dr.
Izdano: (2019) -
Travel time prediction using machine learning and weather impact on traffic conditions
od: Deb, Bilash, i dr.
Izdano: (2018) -
Traffic congestions in Dhaka and socio-economic development in Bangladesh: some micro and macro-level connections
od: Ahmed, Ansar
Izdano: (2017) -
Reducing traffic congestion through ride sharing in Bangladesh: a case study of Dhaka City
od: Mollah, Md Lokman Hossain
Izdano: (2021)