Traffic congestion detection and optimizing traffic flow using object detection, optical flow and fluid dynamics

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.

Chi tiết về thư mục
Những tác giả chính:	Hossain, Md. Shahriyar, Bhuiyan, Md. Imtiaz, Dulali, Marjahan Akther
Tác giả khác:	Alam, Md. Ashraful
Định dạng:	Luận văn
Ngôn ngữ:	English
Được phát hành:	Brac University 2022
Những chủ đề:	AITS ITSC Deep learning Image recognition Self-adaptive traffic system ATS City Traffic Fluid dynamics Numerical simulation Traffic simulation Object detection Optical flow Traffic flow Image processing > Digital techniques. Machine learning Cognitive learning theory (Deep learning) Fluid dynamics > Computer programs.
Truy cập trực tuyến:	http://hdl.handle.net/10361/16668

Những quyển sách tương tự

Traffic sign recognition using deep learning
Bằng: Amir, Afia Binte, et al.
Được phát hành: (2020)

A machine learning approach to predicting and mitigating traffic congestion
Bằng: Faisal, Abu Fatah Mohammed, et al.
Được phát hành: (2024)

A novel approach to forecast traffic congestion using CMTF and machine learning
Bằng: Chowdhury, Md. Mohiuddin, et al.
Được phát hành: (2018)

Application of machine learning techniques on the context of predicting upcoming traffic congestion and providing the best preferred path
Bằng: Saquib, Muhammad Sadman, et al.
Được phát hành: (2019)

Reducing traffic congestion through ride sharing in Bangladesh: a case study of Dhaka City
Bằng: Mollah, Md Lokman Hossain
Được phát hành: (2021)

An efficient algorithm for detecting traffic congestion and a framework for smart traffic control system
Bằng: Karim, Dewan Tanzim ul, et al.
Được phát hành: (2016)

Real time traffic density measurement using computer vision and dynamic traffic control
Bằng: Chowdhury, Md. Fahim, et al.
Được phát hành: (2018)

Blockchain-based traffic surveillance footage authenticity detection system
Bằng: Bin Moshiur, Tasnimul, et al.
Được phát hành: (2023)

IoT based smart traffic control system using sumo traffic simulator
Bằng: Hossain, Sk Md Sunny, et al.
Được phát hành: (2021)

Four way effective traffic management system
Bằng: Mehraj, Fahad Sharif, et al.
Được phát hành: (2023)

Image classification using deep neural network for efficient identification of traffic sign
Bằng: Saha, Sourajit
Được phát hành: (2018)

Crowed source based traffic analysis using machine learning algorithm
Bằng: Orthy, Marzia Khan, et al.
Được phát hành: (2017)

Traﬃc congestion reduction in SUMO using reinforcement learning method
Bằng: Mouly, Radia Rahman, et al.
Được phát hành: (2021)

Crowd source based traffic analysis using machine learning algorithm
Bằng: Orthy, Marzia Khan, et al.
Được phát hành: (2018)

Developing a SIoT compatible novel traffic simulator to evaluate and execute complex SIoT based algorithms in typical road traffic scenarios
Bằng: Gazi, Sami Muhammad, et al.
Được phát hành: (2022)

An intelligent road traffic management system
Bằng: Alam, Tahmid Tanzi, et al.
Được phát hành: (2016)

Night mode prohibitory traffic signs detection
Bằng: Biswas, Rubel, et al.
Được phát hành: (2017)

Application of image processing in traffic control system & license plate detection
Bằng: Islam, Aminul, et al.
Được phát hành: (2017)

Impact of background utilization and background traffic on the foreground applications in a wide area network
Bằng: Uddin, Zia, et al.
Được phát hành: (2016)

An automated traffic signal management system
Bằng: Chowdhury, Partha Narayan, et al.
Được phát hành: (2017)

Travel time prediction using machine learning and weather impact on traffic conditions
Bằng: Deb, Bilash, et al.
Được phát hành: (2018)

Traffic density estimation and flow control for video surveillance system
Bằng: Paul, Partho Sharothi
Được phát hành: (2014)

Flow and transport in porous media : Summer school : Papers /
Được phát hành: (1992)

Traffic congestions in Dhaka and socio-economic development in Bangladesh: some micro and macro-level connections
Bằng: Ahmed, Ansar
Được phát hành: (2017)

Detection and classification of speed limit traffic signs
Bằng: Biswas, Rubel, et al.
Được phát hành: (2017)

Dynamic image analysis for abnormal behavior detection
Bằng: Ahmed, Md. Ashik, et al.
Được phát hành: (2017)

Textbook of fluid dynamics /
Bằng: Chorlton, Frank
Được phát hành: (1967)

Physical fluid dynamics /
Bằng: Tritton, D. J.
Được phát hành: (1988)

An introduction to fluid dynamics /
Bằng: Batchelor, G. K. (George Keith)
Được phát hành: (1993)

LVQ and HOG based speed limit traffic signs detection and categorization
Bằng: Biswas, Rubel, et al.
Được phát hành: (2017)

Telecommunications switching, traffic and networks /
Bằng: Flood, J. E. (John Edward), 1925-
Được phát hành: (1999)

A modern technique to detect potholes by Computer Vision and Deep Learning
Bằng: Saif, Muntasir Mahmud, et al.
Được phát hành: (2023)

A comparative performance analysis of accident anticipation with deep learning extractors
Bằng: Mostak, Alfi Mashab, et al.
Được phát hành: (2023)

An efficient deep learning approach to detect skin Cancer
Bằng: Islam, Ashfaqul, et al.
Được phát hành: (2022)

Statistical analysis of network data flows and predictions using statistical and machine learning regression models
Bằng: Boateng, Albert, et al.
Được phát hành: (2024)

Digitization of the entire traffic system and mitigation of the ongoing traffic crisis across cities of developing nations
Bằng: Yasar, Mohammad Samin, et al.
Được phát hành: (2016)

Real time traffic monitoring system using crowd sourced GPS data
Bằng: Md. Al Amin, et al.
Được phát hành: (2015)

A Physical Introduction to Suspension Dynamics
Bằng: Élisabeth Guazzelli, Jeffrey F. Morris, Illustrated by Sylvie Pic
Được phát hành: (2012)

Turbulence in Rotating, Stratified and Electrically Conducting Fluids
Bằng: P. A. Davidson
Được phát hành: (2013)

Turbulence, Coherent Structures, Dynamical Systems and Symmetry
Bằng: Philip Holmes, John L. Lumley, Gahl Berkooz, Clarence W. Rowley
Được phát hành: (2012)