A machine learning approach to predicting and mitigating traffic congestion

A machine learning approach to predicting and mitigating traffic congestion

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2024.

Bibliografiske detaljer
Main Authors:	Faisal, Abu Fatah Mohammed, Zahid, Chowdhury Zaber Bin, Hasan, Walid Ibne, Talukder, Shuvo
Andre forfattere:	Esfar-E-Alam, A.M.
Format:	Thesis
Sprog:	English
Udgivet:	Brac University 2024
Fag:	Traffic congestion Urban mobility Machine learning Traffic prediction Traffic management Traffic engineering > Data processing. Traffic congestion > Prediction. Traffic congestion > Prevention.
Online adgang:	http://hdl.handle.net/10361/23938

Lignende værker

A novel approach to forecast traffic congestion using CMTF and machine learning
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Udgivet: (2018)

Application of machine learning techniques on the context of predicting upcoming traffic congestion and providing the best preferred path
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Udgivet: (2019)

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

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

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

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

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

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

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

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

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

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

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Udgivet: (2016)

Impact of background utilization and background traffic on the foreground applications in a wide area network
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Udgivet: (2016)

An automated traffic signal management system
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Udgivet: (2017)

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Udgivet: (2023)

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Udgivet: (2017)

Traffic sign recognition using deep learning
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Udgivet: (2020)

Image classification using deep neural network for efficient identification of traffic sign
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Udgivet: (2018)

Digitization of the entire traffic system and mitigation of the ongoing traffic crisis across cities of developing nations
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Udgivet: (2016)

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

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

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

Real time traffic monitoring system using crowd sourced GPS data
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Udgivet: (2015)

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Udgivet: (2023)

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ইমারত নির্মাণের জন্য ট্রাফিক সার্কুলেশন ছাড়পত্র
af: সড়ক পরিবহন ও সেতু মন্ত্রণালয়
Udgivet: (2023)

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Udgivet: (2017)

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

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

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

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

ট্রাফিক অনাপত্তি ছাড়পত্র
af: বাংলাদেশ পুলিশ
Udgivet: (2023)

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

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

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

Role of Dhaka Metropolitan Police (DMP) in present traffic management system of Dhaka City
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Udgivet: (2014)

Detection and classification of speed limit traffic signs
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Udgivet: (2017)

Unplanned urbanization and hill cutting: a study on environmental change in sylhet
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Udgivet: (2012)

Assessment of road safety awareness and knowledge among drivers and community people: A baseline study
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Udgivet: (2022)