Enhancing AV Fleet Management through IoT-enabled Predictive Maintenance and Cybersecurity Measures: Discusses how IoT-enabled predictive maintenance and cybersecurity measures can improve AV fleet management
Published 30-05-2021
Keywords
- Autonomous Vehicles,
- Fleet Management,
- IoT
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
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Abstract
The advent of Autonomous Vehicles (AVs) has ushered in a new era of transportation, promising increased safety, efficiency, and convenience. However, managing and maintaining a fleet of AVs present unique challenges, particularly in terms of predictive maintenance and cybersecurity. This paper explores how IoT-enabled predictive maintenance and cybersecurity measures can enhance AV fleet management.
IoT-enabled predictive maintenance involves the use of sensors and data analytics to monitor the health of AVs in real-time, allowing for proactive maintenance to prevent breakdowns and optimize performance. Similarly, cybersecurity measures are crucial to protect AVs from cyber threats that could compromise their safety and functionality.
This paper first provides an overview of AV fleet management, highlighting the challenges faced in maintenance and cybersecurity. It then delves into IoT-enabled predictive maintenance, discussing its benefits and implementation strategies. Next, it explores cybersecurity measures for AVs, including encryption, authentication, and intrusion detection systems.
The paper also discusses the integration of predictive maintenance and cybersecurity, emphasizing the importance of a holistic approach to AV fleet management. Finally, it concludes with a discussion on the future prospects of IoT-enabled predictive maintenance and cybersecurity in enhancing AV fleet management.
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References
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