Developing a SIoT compatible novel traffic simulator to evaluate and execute complex SIoT based algorithms in typical road traffic scenarios

Developing a SIoT compatible novel traffic simulator to evaluate and execute complex SIoT based algorithms in typical road traffic scenarios

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2021.

Bibliografiset tiedot
Päätekijät:	Gazi, Sami Muhammad, Arko, Sayantan Roy, Gomes, Elizabeth Lina, Bin Shahid, Abrar
Muut tekijät:	Chakrabarty, Dr. Amitabha
Aineistotyyppi:	Opinnäyte
Kieli:	en_US
Julkaistu:	Brac University 2022
Aiheet:	SIoT Traffic congestion SIoV Traffic Simulator VANET MANET Unity IoT Gephi SIoT Simulator IoV Social Networks. Internet of things
Linkit:	http://hdl.handle.net/10361/17573

Samankaltaisia teoksia

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

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

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

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

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

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

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

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

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

Secure Internet of Things (SIoT), International Workshop on

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

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

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

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

2015 International Workshop on Secure Internet of Things (SIoT)

2018 International Workshop on Secure Internet of Things (SIoT)

2017 International Workshop on Secure Internet of Things (SIoT)

2016 International Workshop on Secure Internet of Things (SIoT)

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

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

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

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

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

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

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

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)

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

Modeling and simulation of a gas detecting device for providing safety; and reducing the risk of accidents due to gas explosion or fire
Tekijä: Khan, Rafsan, et al.
Julkaistu: (2022)

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)

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

A study on the challenges and importance of vehicular network in the context of Bangladesh
Tekijä: Naz, Farah, et al.
Julkaistu: (2016)

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

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

Multiplayer online war simulator based on unity3D and openGL
Tekijä: Azmi, Shameer, et al.
Julkaistu: (2016)

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

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

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

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

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