Brain Ndumiso Ndlovu
Department of Industrial and Systems Engineering, University of Pretoria, CNR Lynnwood Road and, Roper St, Hatfield, 0083, Pretoria, South Africa.

Michael Ayomoh
Department of Industrial and Systems Engineering, University of Pretoria, CNR Lynnwood Road and, Roper St, Hatfield, 0083, Pretoria, South Africa.

DOI https://doi.org/10.33889/IJMEMS.2023.8.5.054

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Abstract

The reliability of autonomous vehicles (AVs) is a research domain of high interest, covering a diverse pool of researchers, captains of smart auto industries, government agencies, and technology enthusiasts. The reliability of AVs is not extensively explored in the literature, despite the apprehension due to fatal accidents recorded in the past. Despite being in existence for over a decade, AVs have yet to reach a certified commercial-level deployment. Due to the complexity that comes with the self-operation of an AV, the issue of trustworthiness, which signifies reliability, becomes inevitable. The identification, analysis, and categorization of functional elements using systems engineering conceptual design principles and the linkage of these to the road traffic rules were conducted to address this. Also, the evaluation of the reliability of AVs using various developed vehicles from selected industries was addressed by integrating the traffic rules. The analysis of reliability was carried out using life-to-failure data premised on the probability plotting approach. It was found that there is a 99.94% chance that an autonomous vehicle will fail at least one of the traffic rules within 20 minutes of driving. Furthermore, the hazard rate of AVs was found to be on the rise, meaning a high indication of accidents.

Keywords- Autonomous vehicles, Functional capability, Physical embodiment, Reliability analysis, Systems engineering conceptual design.

Citation

Ndlovu, B. N. & Ayomoh, M. (2023). Reliability Analysis of the Functional Capabilities of an Autonomous Vehicle. International Journal of Mathematical, Engineering and Management Sciences, 8(5), 943-965. https://doi.org/10.33889/IJMEMS.2023.8.5.054.