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Integrated Modelling of Functional Capabilities and Reliability Analysis of Outdoor Autonomous Vehicle Intelligence
Dissertation (MSc(Industrial and Systems Engineering))--University of Pretoria, 2023.
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| Format: | Thesis |
| Language: | English |
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University of Pretoria
2023
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| _version_ | 1867613679828074497 |
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| access_status_str | Open Access |
| author2 | Ayomoh, Michael |
| author_browse | Ayomoh, Michael |
| author_facet | Ayomoh, Michael |
| collection | Thesis |
| dc_rights_str_mv | © 2022 University of Pretoria. All rights reserved. The copyright in this work vests in the University of Pretoria. No part of this work may be reproduced or transmitted in any form or by any means, without the prior written permission of the University of Pretoria. |
| description | Dissertation (MSc(Industrial and Systems Engineering))--University of Pretoria, 2023. |
| format | Thesis |
| id | oai:repository.up.ac.za:2263/89640 |
| institution | University of Pretoria (South Africa) |
| language | English |
| last_indexed | 2026-06-10T12:39:59.298Z |
| license_str | Other — see source repository |
| provenance_str_mv | Harvested via OAI-PMH from UPSpace — University of Pretoria Institutional Repository |
| publishDate | 2023 |
| publishDateRange | 2023 |
| publishDateSort | 2023 |
| publisher | University of Pretoria |
| publisherStr | University of Pretoria |
| record_format | dspace |
| source_str | UPSpace — University of Pretoria Institutional Repository |
| spelling | oai:repository.up.ac.za:2263/89640 Integrated Modelling of Functional Capabilities and Reliability Analysis of Outdoor Autonomous Vehicle Intelligence Ayomoh, Michael brianndlovu36@gmail.com Ndlovu, Brain Ndumiso UCTD Reliability analysis, autonomous vehicle, functional capabilities, systems engineering, traffic rules Dissertation (MSc(Industrial and Systems Engineering))--University of Pretoria, 2023. The autonomous vehicles concept and development were founded in the 1980s, but they became more famous and advanced more than a decade ago. Autonomous vehicles were created due to the advancement of different technologies, and it was believed to portray the progress of the 21st century. This idea led people to think these autonomous vehicles might help reduce or mitigate road accidents. However, firstly, according to the National Law Review, early accidents were recorded, and some were deadly. Secondly, the African continent has been left behind concerning technological advancement; hence, it is currently not ready for so-called smart cities. Therefore, the problem this dissertation looked into is that there is an issue of complexity associated with autonomous vehicles (with independent levels 4 and 5). The study aimed to objectively understudy the reliability of the intelligent autonomous vehicle amidst inter- and intra-complexities associated with autonomous ground vehicle navigation requirements. Therefore, an appropriate methodology had to be selected to fulfill the aim. Thus, two research methodologies were considered for this dissertation, which are (1) design science research and (2) systems thinking methodologies. Additionally, a unification of these two methods was established, and a framework was designed. An optimal physical structure was developed using the established framework and analysing autonomous vehicles’ sensor fusions. Furthermore, the reliability analysis model was formulated. The use of systems and reliability engineering theories and applications were adopted to develop and model the optimal structure and reliability model. Finally, the reliability of the autonomous vehicles with respect to traffic rules was calculated. It was found that there is a 99.94% chance that the autonomous vehicle will fail at least one of the traffic rules in 20 minutes. Industrial and Systems Engineering MEng(Industrial and Systems Engineering) Unrestricted 2023-02-16T11:36:22Z 2023-02-16T11:36:22Z 2023-05-12 2023 Dissertation * https://repository.up.ac.za/handle/2263/89640 10.25403/UPresearchdata.22099841 en © 2022 University of Pretoria. All rights reserved. The copyright in this work vests in the University of Pretoria. No part of this work may be reproduced or transmitted in any form or by any means, without the prior written permission of the University of Pretoria. application/pdf University of Pretoria |
| spellingShingle | UCTD Reliability analysis, autonomous vehicle, functional capabilities, systems engineering, traffic rules Integrated Modelling of Functional Capabilities and Reliability Analysis of Outdoor Autonomous Vehicle Intelligence |
| title | Integrated Modelling of Functional Capabilities and Reliability Analysis of Outdoor Autonomous Vehicle Intelligence |
| title_full | Integrated Modelling of Functional Capabilities and Reliability Analysis of Outdoor Autonomous Vehicle Intelligence |
| title_fullStr | Integrated Modelling of Functional Capabilities and Reliability Analysis of Outdoor Autonomous Vehicle Intelligence |
| title_full_unstemmed | Integrated Modelling of Functional Capabilities and Reliability Analysis of Outdoor Autonomous Vehicle Intelligence |
| title_short | Integrated Modelling of Functional Capabilities and Reliability Analysis of Outdoor Autonomous Vehicle Intelligence |
| title_sort | integrated modelling of functional capabilities and reliability analysis of outdoor autonomous vehicle intelligence |
| topic | UCTD Reliability analysis, autonomous vehicle, functional capabilities, systems engineering, traffic rules |
| url | https://repository.up.ac.za/handle/2263/89640 |