Traffic congestion detection and optimizing traffic flow using object detection, optical flow and fluid dynamics
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2022.
Auteurs principaux: | Hossain, Md. Shahriyar, Bhuiyan, Md. Imtiaz, Dulali, Marjahan Akther |
---|---|
Autres auteurs: | Alam, Md. Ashraful |
Format: | Thèse |
Langue: | English |
Publié: |
Brac University
2022
|
Sujets: | |
Accès en ligne: | http://hdl.handle.net/10361/16668 |
Documents similaires
-
Traffic sign recognition using deep learning
par: Amir, Afia Binte, et autres
Publié: (2020) -
A machine learning approach to predicting and mitigating traffic congestion
par: Faisal, Abu Fatah Mohammed, et autres
Publié: (2024) -
A novel approach to forecast traffic congestion using CMTF and machine learning
par: Chowdhury, Md. Mohiuddin, et autres
Publié: (2018) -
Application of machine learning techniques on the context of predicting upcoming traffic congestion and providing the best preferred path
par: Saquib, Muhammad Sadman, et autres
Publié: (2019) -
Reducing traffic congestion through ride sharing in Bangladesh: a case study of Dhaka City
par: Mollah, Md Lokman Hossain
Publié: (2021)