The ongoing development of autonomous vehicles requires introducing advanced technologies and protocols to ensure road safety and efficiency. Conventional data recording devices in standard vehicles have limitations in data storage and accessibility, which hinders efficient information sharing and analysis. In addition, connected vehicles are vulnerable to targeted attacks that can lead to potential data breaches. EU regulation 2019/2144 has mandated the introduction of standardised data recording systems from 2024 to address these challenges. Based on this, we propose a standardised event detection and response system for autonomous vehicles introducing a Client2X architecture to improve data collection, storage and analysis. This architecture enables efficient machine learning-based event analysis, faster data retrieval and data integrity. An external monitoring system complements the in-vehicle data storage and ensures comprehensive data analysis. The proposed system aims to accelerate incident resolution and improve vehicle safety and data management.

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Towards a Unified Incident Detection and Response System for Autonomous Transportation

  • Liron Ahmeti,
  • Conrad Meyer,
  • Klara Dološ,
  • Andreas Attenberger,
  • Rudolf Hackenberg

摘要

The ongoing development of autonomous vehicles requires introducing advanced technologies and protocols to ensure road safety and efficiency. Conventional data recording devices in standard vehicles have limitations in data storage and accessibility, which hinders efficient information sharing and analysis. In addition, connected vehicles are vulnerable to targeted attacks that can lead to potential data breaches. EU regulation 2019/2144 has mandated the introduction of standardised data recording systems from 2024 to address these challenges. Based on this, we propose a standardised event detection and response system for autonomous vehicles introducing a Client2X architecture to improve data collection, storage and analysis. This architecture enables efficient machine learning-based event analysis, faster data retrieval and data integrity. An external monitoring system complements the in-vehicle data storage and ensures comprehensive data analysis. The proposed system aims to accelerate incident resolution and improve vehicle safety and data management.