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.
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Brac University
2022
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| Accesso online: | http://hdl.handle.net/10361/17573 |
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10361-175732022-11-15T21:01:47Z Developing a SIoT compatible novel traffic simulator to evaluate and execute complex SIoT based algorithms in typical road traffic scenarios Gazi, Sami Muhammad Arko, Sayantan Roy Gomes, Elizabeth Lina Bin Shahid, Abrar Chakrabarty, Dr. Amitabha Department of Computer Science and Engineering, Brac University SIoT Traffic congestion SIoV Traffic Simulator VANET MANET Unity IoT Gephi SIoT Simulator IoV Social Networks. Internet of things This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2021. Cataloged from PDF version of thesis. Includes bibliographical references (pages 42-45). In 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. Sami Muhammad Gazi Sayantan Roy Arko Elizabeth Lina Gomes Abrar Bin Shahid B. Computer Science and Engineering 2022-11-15T08:59:08Z 2022-11-15T08:59:08Z 2021 2021-01 Thesis ID: 16341004 ID: 16121013 ID: 16121013 ID: 17201073 ID: 16121155 http://hdl.handle.net/10361/17573 en_US Brac 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. 45 Pages application/pdf Brac University |
| institution |
Brac University |
| collection |
Institutional Repository |
| language |
en_US |
| topic |
SIoT Traffic congestion SIoV Traffic Simulator VANET MANET Unity IoT Gephi SIoT Simulator IoV Social Networks. Internet of things |
| spellingShingle |
SIoT Traffic congestion SIoV Traffic Simulator VANET MANET Unity IoT Gephi SIoT Simulator IoV Social Networks. Internet of things Gazi, Sami Muhammad Arko, Sayantan Roy Gomes, Elizabeth Lina Bin Shahid, Abrar Developing a SIoT compatible novel traffic simulator to evaluate and execute complex SIoT based algorithms in typical road traffic scenarios |
| description |
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2021. |
| author2 |
Chakrabarty, Dr. Amitabha |
| author_facet |
Chakrabarty, Dr. Amitabha Gazi, Sami Muhammad Arko, Sayantan Roy Gomes, Elizabeth Lina Bin Shahid, Abrar |
| format |
Thesis |
| author |
Gazi, Sami Muhammad Arko, Sayantan Roy Gomes, Elizabeth Lina Bin Shahid, Abrar |
| author_sort |
Gazi, Sami Muhammad |
| title |
Developing a SIoT compatible novel traffic simulator to evaluate and execute complex SIoT based algorithms in typical road traffic scenarios |
| title_short |
Developing a SIoT compatible novel traffic simulator to evaluate and execute complex SIoT based algorithms in typical road traffic scenarios |
| title_full |
Developing a SIoT compatible novel traffic simulator to evaluate and execute complex SIoT based algorithms in typical road traffic scenarios |
| title_fullStr |
Developing a SIoT compatible novel traffic simulator to evaluate and execute complex SIoT based algorithms in typical road traffic scenarios |
| title_full_unstemmed |
Developing a SIoT compatible novel traffic simulator to evaluate and execute complex SIoT based algorithms in typical road traffic scenarios |
| title_sort |
developing a siot compatible novel traffic simulator to evaluate and execute complex siot based algorithms in typical road traffic scenarios |
| publisher |
Brac University |
| publishDate |
2022 |
| url |
http://hdl.handle.net/10361/17573 |
| work_keys_str_mv |
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