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A New Redundant Intelligent Architecture to Improve the Operational Safety of Autonomous Vehicles

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Advanced Information Networking and Applications (AINA 2024)

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Abstract

Considering that connected autonomous vehicles are the future of transportation, it is essential to investigate their dependability and accessibility in order to enhance their market acceptance and make them commercially viable. One of the primary challenges faced by autonomous connected vehicles is the frequent occurrence of dropped packages, which significantly undermines their reliability. To ensure a high level of reliability in autonomous vehicles equipped with a level 5 autonomous driving system, we propose a novel architecture that incorporates redundancy. This architecture aims to bolster reliability while mitigating the risk of failures. Additionally, we introduce a neuro-fuzzy communication controller that enables the reduction of dropped message rates by seamlessly switching between the various connectivity modules present within the vehicle.

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Authors and Affiliations

  1. Private Higher Institute of Digitalization Technologies (ISPTed), Tabarka, Tunisia

    Hajer Boujezza & Anis Boubakri

Authors
  1. Hajer Boujezza
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  2. Anis Boubakri
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Correspondence to Hajer Boujezza .

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Editors and Affiliations

  1. Department of Information and Communication Engineering, Fukuoka Institute of Technology, Fukuoka, Japan

    Leonard Barolli

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Boujezza, H., Boubakri, A. (2024). A New Redundant Intelligent Architecture to Improve the Operational Safety of Autonomous Vehicles. In: Barolli, L. (eds) Advanced Information Networking and Applications. AINA 2024. Lecture Notes on Data Engineering and Communications Technologies, vol 199. Springer, Cham. https://doi.org/10.1007/978-3-031-57840-3_13

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