Smart Autonomous Bike Hardware Safety Metrics

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Computational Intelligence, Data Analytics and Applications (ICCIDA 2022)

Abstract

Automotive Safety Integrity Levels (ASIL) are the safety requirements set by the International Organization for Standardization (ISO 26262) protocol to ensure safety for all automotive road vehicles. As of 2018, the ISO 26262 standard has put into consideration motorcycles as a reference to any “two-wheeler system” and named the improved version of the Safety Integrity Levels (SIL) as Motorcycle Safety Integrity Levels (MSIL). There are considerable differences between ASIL and MSIL due to the differences between four wheeled and two wheeled vehicles, such as the protection level of the riders, the damage control and the different risks of their hardware components failing, as well as the weight of the four-wheeler systems in comparison to the two-wheeler systems. In this paper, an overview of the different safety requirements and standards is presented, as well as the protocols used to ensure maximum safety for both the rider and the vehicle. The metrics proposed which indicate whether the smart bike is safe to ride are also presented. The proposed approach is implemented on a real-life smart autonomous bike prototype. Furthermore, this paper provides guidelines on how to use Mean Time To Failure (MTTF) to ensure that the hardware does not fail during operation, which can cause safety hazards for riders and surrounding entities.

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Correspondence to Menatalla Elnemr .

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Elnemr, M., Soubra, H., Sabry, M. (2023). Smart Autonomous Bike Hardware Safety Metrics. In: García Márquez, F.P., Jamil, A., Eken, S., Hameed, A.A. (eds) Computational Intelligence, Data Analytics and Applications. ICCIDA 2022. Lecture Notes in Networks and Systems, vol 643. Springer, Cham. https://doi.org/10.1007/978-3-031-27099-4_11

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