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dc.contributor.advisorChakrabarty, Dr. Amitabha
dc.contributor.authorGazi, Sami Muhammad
dc.contributor.authorArko, Sayantan Roy
dc.contributor.authorGomes, Elizabeth Lina
dc.contributor.authorBin Shahid, Abrar
dc.date.accessioned2022-11-15T08:59:08Z
dc.date.available2022-11-15T08:59:08Z
dc.date.copyright2021
dc.date.issued2021-01
dc.identifier.otherID: 16341004
dc.identifier.otherID: 16121013
dc.identifier.otherID: 16121013
dc.identifier.otherID: 17201073
dc.identifier.otherID: 16121155
dc.identifier.urihttp://hdl.handle.net/10361/17573
dc.descriptionThis thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2021.en_US
dc.descriptionCataloged from PDF version of thesis.
dc.descriptionIncludes bibliographical references (pages 42-45).
dc.description.abstractIn recent years, Traffic Congestion has become a serious problem both for the devel oped and developing countries. Averting Traffic congestion’s preemptively would provide maximum benefits to commuters all around. Wireless communication between vehicles, which is nowadays accessible with smarter cars coming out more and more frequently, is the right path in coming up with a solution for traffic congestion. Vehicular commu nications seek out to reduce congestion’s and improve road safety by adopting VANET and IoT based solution systems. VANET systems create dynamic node-node connections between vehicles to create a network of communication. SIoV promises new dimensions to the traffic congestion issue of the world by introducing social network concepts to the realm of SIoT, but this technology is still quite emerging. Therefore SIoT and the SIoT of vehicles that is SIoV has only been explored in the hands of able simulators. This paper proposes a novel Unity Engine based simulator to utilize complex SIoT traffic mapping algorithms and simulate traffic scenarios once the connections between vehicles has been established. Furthermore the simulator produces observations of the traffic congestion judging from the vehicular connections, producing suggestions that help to avert further traffic congestion’s for a 4-way intersection on a busy street. The simulator maps vehicles as nodes and runs a scenario to observe the traffic scenarios created within the parame ters. The idea is to avoid traffic congestion by utilizing pre-existing concepts of SIoT and design a simulator that can be fed SIoT algorithms and would produce satisfactory results.en_US
dc.description.statementofresponsibilitySami Muhammad Gazi
dc.description.statementofresponsibilitySayantan Roy Arko
dc.description.statementofresponsibilityElizabeth Lina Gomes
dc.description.statementofresponsibilityAbrar Bin Shahid
dc.format.extent45 Pages
dc.language.isoen_USen_US
dc.publisherBrac Universityen_US
dc.rightsBrac University theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission.
dc.subjectSIoTen_US
dc.subjectTraffic congestionen_US
dc.subjectSIoVen_US
dc.subjectTraffic Simulatoren_US
dc.subjectVANETen_US
dc.subjectMANETen_US
dc.subjectUnityen_US
dc.subjectIoTen_US
dc.subjectGephien_US
dc.subjectSIoT Simulatoren_US
dc.subjectIoVen_US
dc.subjectSocial Networks.en_US
dc.subject.lcshInternet of things
dc.titleDeveloping a SIoT compatible novel traffic simulator to evaluate and execute complex SIoT based algorithms in typical road traffic scenariosen_US
dc.typeThesisen_US
dc.contributor.departmentDepartment of Computer Science and Engineering, Brac University
dc.description.degreeB. Computer Science and Engineering


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