Application of machine learning techniques on the context of predicting upcoming traffic congestion and providing the best preferred path

Application of machine learning techniques on the context of predicting upcoming traffic congestion and providing the best preferred path

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2019.

Dades bibliogràfiques
Autors principals:	Saquib, Muhammad Sadman, Ali, Mili Mohammad, Tazmim, Marisha, Ahmad, Faiyaaz
Altres autors:	Arif, Hossain
Format:	Thesis
Idioma:	English
Publicat:	Brac University 2019
Matèries:	Traffic congestion Congestion prediction Machine learning Regression analysis Intelligent Transport System (ITS) Correlation Logistic regression Traffic engineering. Traffic flow > Bangladesh > Management.
Accés en línia:	http://hdl.handle.net/10361/12295

Ítems similars

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

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

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

A novel approach to forecast traffic congestion using CMTF and machine learning
per: Chowdhury, Md. Mohiuddin, 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)

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

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

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

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)

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)

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

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

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

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

Tuning the TCP congestion control parameters to optimize client-server systems
per: Uddin, Jia, 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)

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

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

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

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

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

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

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

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

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

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)

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

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

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

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

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

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

Augmented reality based flight assisting system under emergency circumstances
per: Islam, A.R.M. Rizwan, et al.
Publicat: (2021)

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

ইমারত নির্মাণের জন্য ট্রাফিক সার্কুলেশন ছাড়পত্র
per: সড়ক পরিবহন ও সেতু মন্ত্রণালয়
Publicat: (2023)

Colonial drug trade in South Asia : from Palashi to partition /
per: Haq, M. Emdadul
Publicat: (2017)

Detection and classification of speed limit traffic signs
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)