Human Interaction Safety Analysis Method for Agreements with Connected Automated Vehicles

Warg, Fredrik; Skoglund, Martin A.; Sassman, Matthew

doi:10.1109/vtc2021-fall52928.2021.9625202

Cited by 2 publications

References 9 publications

(12 reference statements)

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Evaluating the Safety Impact of Network Disturbances for Remote Driving with Simulation-Based Human-in-the-Loop Testing

Trivedi

Warg

2023

2023 53rd Annual IEEE/IFIP International Conference on Dependable Systems and Networks Workshops (DSN-W)

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One vital safety aspect of advanced vehicle features is ensuring that the interaction with human users will not cause accidents. For remote driving, the human operator is physically removed from the vehicle, instead controlling it from a remote control station over a wireless network. This work presents a methodology to inject network disturbances into this communication and analyse the effects on vehicle manoeuvrability. A driving simulator, CARLA, was connected to a driving station to allow human-in-the-loop testing. NETEM was used to inject faults to emulate network disturbances. Time-To-Collison (TTC) and Steering Reversal Rate (SRR) were used as the main metrics to assess manoeuvrability. Clear negative effects on the ability to safely control the vehicle were observed on both TTC and SRR for 5% packet loss, and collision analysis shows that 50ms communication delay and 5% packet loss resulted in crashes for our test setup. The presented methodology can be used as part of a safety evaluation or in the design loop of remote driving or remote assistance vehicle features.

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Evaluating the Safety Impact of Network Disturbances for Remote Driving with Simulation-Based Human-in-the-Loop Testing

Trivedi

Warg

2023

2023 53rd Annual IEEE/IFIP International Conference on Dependable Systems and Networks Workshops (DSN-W)

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Enhancing Safety Assessment of Automated Driving Systems with Key Enabling Technology Assessment Templates

Skoglund,

Warg,

Thorsén

et al. 2023

Vehicles

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The emergence of Automated Driving Systems (ADSs) has transformed the landscape of safety assessment. ADSs, capable of controlling a vehicle without human intervention, represent a significant shift from traditional driver-centric approaches to vehicle safety. While traditional safety assessments rely on the assumption of a human driver in control, ADSs require a different approach that acknowledges the machine as the primary driver. Before market introduction, it is necessary to confirm the vehicle safety claimed by the manufacturer. The complexity of the systems necessitates a new comprehensive safety assessment that examines and validates the hazard identification and safety-by-design concepts and ensures that the ADS meets the relevant safety requirements throughout the vehicle lifecycle. The presented work aims to enhance the effectiveness of the assessment performed by a homologation service provider by using assessment templates based on refined requirement attributes that link to the operational design domain (ODD) and the use of Key Enabling Technologies (KETs), such as communication, positioning, and cybersecurity, in the implementation of ADSs. The refined requirement attributes can serve as safety-performance indicators to assist the evaluation of the design soundness of the ODD. The contributions of this paper are: (1) outlining a method for deriving assessment templates for use in future ADS assessments; (2) demonstrating the method by analysing three KETs with respect to such assessment templates; and (3) demonstrating the use of assessment templates on a use case, an unmanned (remotely assisted) truck in a limited ODD. By employing assessment templates tailored to the technology reliance of the identified use case, the evaluation process gained clarity through assessable attributes, assessment criteria, and functional scenarios linked to the ODD and KETs.

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Human Interaction Safety Analysis Method for Agreements with Connected Automated Vehicles

Cited by 2 publications

References 9 publications

Evaluating the Safety Impact of Network Disturbances for Remote Driving with Simulation-Based Human-in-the-Loop Testing

Evaluating the Safety Impact of Network Disturbances for Remote Driving with Simulation-Based Human-in-the-Loop Testing

Enhancing Safety Assessment of Automated Driving Systems with Key Enabling Technology Assessment Templates

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