A novel approach to forecast traffic congestion using CMTF and machine learning

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.

Dades bibliogràfiques
Autors principals:	Chowdhury, Md. Mohiuddin, Hasan, Mahmudul, Safait, Saimoom
Altres autors:	Uddin, Jia
Format:	Thesis
Idioma:	English
Publicat:	BRAC University 2018
Matèries:	Traffic congestion Traffic data Forecast Machine learning CMTF
Accés en línia:	http://hdl.handle.net/10361/10121

Ítems similars

A machine learning approach to predicting and mitigating traffic congestion
per: Faisal, Abu Fatah Mohammed, et al.
Publicat: (2024)

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

Travel time prediction using machine learning and weather impact on traffic conditions
per: Deb, Bilash, et al.
Publicat: (2018)

Traffic congestions in Dhaka and socio-economic development in Bangladesh: some micro and macro-level connections
per: Ahmed, Ansar
Publicat: (2017)

Reducing traffic congestion through ride sharing in Bangladesh: a case study of Dhaka City
per: Mollah, Md Lokman Hossain
Publicat: (2021)

Reducing traffic congestion level of Dhaka city using policy based algorithm in SUMO
per: Islam, Khandker Mushfiqul, et al.
Publicat: (2018)

Traﬃc congestion reduction in SUMO using reinforcement learning method
per: Mouly, Radia Rahman, et al.
Publicat: (2021)

BIGD Quarterly, October –December, 2016
per: BRAC Institute of Governance and Development, BRAC University
Publicat: (2019)

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

Real time traffic density measurement using computer vision and dynamic traffic control
per: Chowdhury, Md. Fahim, et al.
Publicat: (2018)

Crowed source based traffic analysis using machine learning algorithm
per: Orthy, Marzia Khan, et al.
Publicat: (2017)

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

Traffic congestion detection and optimizing traffic flow using object detection, optical flow and fluid dynamics
per: Hossain, Md. Shahriyar, et al.
Publicat: (2022)

Crowd source based traffic analysis using machine learning algorithm
per: Orthy, Marzia Khan, et al.
Publicat: (2018)

An intelligent road traffic management system
per: Alam, Tahmid Tanzi, et al.
Publicat: (2016)

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

An automated traffic signal management system
per: Chowdhury, Partha Narayan, et al.
Publicat: (2017)

Traffic sign recognition using deep learning
per: Amir, Afia Binte, et al.
Publicat: (2020)

Four way effective traffic management system
per: Mehraj, Fahad Sharif, et al.
Publicat: (2023)

Night mode prohibitory traffic signs detection
per: Biswas, Rubel, et al.
Publicat: (2017)

Image classification using deep neural network for efficient identification of traffic sign
per: Saha, Sourajit
Publicat: (2018)

Performance of VoIP networks using MPLS traffic engineering
per: Faisal, Mohammed Fuad Ad, et al.
Publicat: (2016)

Traffic condition awareness using kalman filter technique with the aid of arduino and matlab embedded system author
Publicat: (2018)

IoT based smart traffic control system using sumo traffic simulator
per: Hossain, Sk Md Sunny, et al.
Publicat: (2021)

Telecommunications switching, traffic and networks /
per: Flood, J. E. (John Edward), 1925-
Publicat: (1999)

Real time traffic monitoring system using crowd sourced GPS data
per: Md. Al Amin, et al.
Publicat: (2015)

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

Impact of black-hole and jellyfish attacks in MANET using HTTP traffic
per: Ahmed, Faisal, et al.
Publicat: (2017)

Tuning the TCP congestion control parameters to optimize client-server systems
per: Uddin, Jia, et al.
Publicat: (2016)

Public vehicle ETA system using machine learning
per: Kabir, Md. Miraz, et al.
Publicat: (2018)

Efficient network traffic management and intelligent decision-making through machine learning and DNS log analysis
per: Hossain, Syed Abed
Publicat: (2024)

Detection and classification of speed limit traffic signs
per: Biswas, Rubel, et al.
Publicat: (2017)

Speed limit traffic sign recognition in night mode based on deformable spatial pyramid
per: Pinku, Subroto Nag
Publicat: (2016)

Real time traffic analysis using decentralized SIOT
per: Mostafi, Sifatul, et al.
Publicat: (2018)

LVQ and HOG based speed limit traffic signs detection and categorization
per: Biswas, Rubel, et al.
Publicat: (2017)

Role of Dhaka Metropolitan Police (DMP) in present traffic management system of Dhaka City
per: Arif, Md. Shamsul
Publicat: (2014)

Queueing theory based vehicular traffic management system through Jackson Network Model and Optimization
per: Suma, Tanjim Mushtari, et al.
Publicat: (2021)

Work from home: an effective way to enhance employee productivity
per: Nazneen, Sumaya
Publicat: (2023)

Application of image processing in traffic control system & license plate detection
per: Islam, Aminul, et al.
Publicat: (2017)

A comparative study of traffic detection using Google map (GPS) and IoV
per: Alam, Mohd. Touhedul, et al.
Publicat: (2023)