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.

Bibliografiset tiedot
Päätekijät:	Saquib, Muhammad Sadman, Ali, Mili Mohammad, Tazmim, Marisha, Ahmad, Faiyaaz
Muut tekijät:	Arif, Hossain
Aineistotyyppi:	Opinnäyte
Kieli:	English
Julkaistu:	Brac University 2019
Aiheet:	Traffic congestion Congestion prediction Machine learning Regression analysis Intelligent Transport System (ITS) Correlation Logistic regression Traffic engineering. Traffic flow > Bangladesh > Management.
Linkit:	http://hdl.handle.net/10361/12295

Samankaltaisia teoksia

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

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

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

A novel approach to forecast traffic congestion using CMTF and machine learning
Tekijä: Chowdhury, Md. Mohiuddin, et al.
Julkaistu: (2018)

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

ইমারত নির্মাণের জন্য ট্রাফিক সার্কুলেশন ছাড়পত্র
Tekijä: সড়ক পরিবহন ও সেতু মন্ত্রণালয়
Julkaistu: (2023)

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

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

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