Abstract

AbstractWith the upcoming new legislative rules in the EU on Event Data Recorder beginning 2022 the question is whether the discussed data base is sufficient for the needs of clarifying accidents involving automated vehicles. Based on the reconstruction of real accidents including vehicles with ADAS combined with specially designed crash tests a broader data base than US EDR regulation (NHTSA 49 CFR Part 563.7) is proposed. The working group AHEAD, to which the authors contribute, has already elaborated a data model that fits the needs of automated driving. The structure of this data model is shown. Moreover, the special benefits of storing internal video or photo feeds form the vehicle camera systems combined with object data is illustrated. When using a sophisticate 3D measurement method of the accident scene the videos or photos can also serve as a control instance for the stored vehicle data. The AHEAD Data Model enhanced with the storage of the video and photo feeds should be considered in the planned roadmap of the Informal Working Group (IWG) on EDR/ DSSAD (Data Storage System for Automated Driving) reporting to UNECE WP29. Also, a data access over the air using technology already applied in China for electric vehicles called Real Time Monitoring would allow a quantum leap in forensic accident reconstruction.

Highlights

  • With the upcoming new legislative rules in the EU on Event Data Recorder beginning 2022 the question is whether the discussed data base is sufficient for the needs of clarifying accidents involving automated vehicles

  • Based on the reconstruction of real accidents including vehicles with ADAS combined with specially designed crash tests a broader data base than US event data recorder (EDR) regulation (NHTSA 49 CFR Part 563.7) is proposed

  • The AHEAD Data Model enhanced with the storage of the video and photo feeds should be considered in the planned road map of the Informal Working Group (IWG) on EDR/ Data Storage System for Automated Driving” (DSSAD) (Data Storage System for Automated Driving) reporting to UNECE WP29

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Summary

State of the art for traflc accident clarification using vehicle data

In Germany, a “Data Storage System for Automated Driving” (DSSAD) for vehicles with a level of automation ≥ SAE Level 3 was legally prescribed by § 63a StVG in 2017 [1]. Since 2006, NHTSA has defined with the regulation “49 CFR Part 563” uniform requirements for the accuracy, collection, storage, survivability, and retrievability of vehicle-specific crash event data in vehicles equipped with an event data recorder (EDR) [4]. The current and planned EDR and DSSAD solutions are not and probably will not be sufficient to fully clarify traffic accidents with automated and connected vehicles [8]. Parallel to these developments, many manufacturers are recording non-standardized accident data of the vehicle [11,12,13]. These data are buffered and sent to government servers [14]

Urgency of a sophisticated EDR concept
Outlook

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