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.
المؤلفون الرئيسيون: | Hossain, Md. Shahriyar, Bhuiyan, Md. Imtiaz, Dulali, Marjahan Akther |
---|---|
مؤلفون آخرون: | Alam, Md. Ashraful |
التنسيق: | أطروحة |
اللغة: | English |
منشور في: |
Brac University
2022
|
الموضوعات: | |
الوصول للمادة أونلاين: | http://hdl.handle.net/10361/16668 |
مواد مشابهة
-
Traffic sign recognition using deep learning
بواسطة: Amir, Afia Binte, وآخرون
منشور في: (2020) -
A machine learning approach to predicting and mitigating traffic congestion
بواسطة: Faisal, Abu Fatah Mohammed, وآخرون
منشور في: (2024) -
A novel approach to forecast traffic congestion using CMTF and machine learning
بواسطة: Chowdhury, Md. Mohiuddin, وآخرون
منشور في: (2018) -
Application of machine learning techniques on the context of predicting upcoming traffic congestion and providing the best preferred path
بواسطة: Saquib, Muhammad Sadman, وآخرون
منشور في: (2019) -
Reducing traffic congestion through ride sharing in Bangladesh: a case study of Dhaka City
بواسطة: Mollah, Md Lokman Hossain
منشور في: (2021)