• search hit 20 of 320
Back to Result List

Non-deterministic model validation methodology for simulation-based safety assessment of automated vehicles

  • Safeguarding and type approval of automated vehicles is a key enabler for their market launch in our complex traffic environment. Scenario-based testing by means of computer simulation is becoming increasingly important to cope with the enormous complexity and effort. However, there is a huge gap when assessing the safety of the virtual vehicle while the real vehicle will drive on the road. Simulation must be accompanied by model validation to ensure its credibility since errors and uncertainties are inherent in every model. Unfortunately, this is rarely addressed in the current literature. In this paper, a modular process is presented covering both model validation and safeguarding. It is characterized by the fact that it quantifies a large number of errors and uncertainties, represents them in the form of an error model, and ultimately integrates them into the safeguarding results. It is applied to a type-approval regulation for the lane-keeping behavior of a vehicle under various scenario conditions. The paper contains a thoroughSafeguarding and type approval of automated vehicles is a key enabler for their market launch in our complex traffic environment. Scenario-based testing by means of computer simulation is becoming increasingly important to cope with the enormous complexity and effort. However, there is a huge gap when assessing the safety of the virtual vehicle while the real vehicle will drive on the road. Simulation must be accompanied by model validation to ensure its credibility since errors and uncertainties are inherent in every model. Unfortunately, this is rarely addressed in the current literature. In this paper, a modular process is presented covering both model validation and safeguarding. It is characterized by the fact that it quantifies a large number of errors and uncertainties, represents them in the form of an error model, and ultimately integrates them into the safeguarding results. It is applied to a type-approval regulation for the lane-keeping behavior of a vehicle under various scenario conditions. The paper contains a thorough validation of the methodology itself by comparing its results with actual ground truth values. For this comparison, a binary classifier and confusion matrices are used that relate the binary type-approval decisions. The classifier demonstrates that the methodology of this paper identifies a systematic error of the simulation model across several safeguarding scenarios. Finally, the paper provides recommendations for alternative configurations of the modular methodology depending on different requirements.show moreshow less

Export metadata

Additional Services

Search Google Scholar
Metadaten
Author:Stefan RiedmaierORCiD, Jakob Schneider, Benedikt DanquahORCiDGND, Bernhard SchickORCiD, Frank DiermeyerGND
DOI:https://doi.org/10.1016/j.simpat.2021.102274
Identifier:1569-190X OPAC HS OPAC extern
Parent Title (English):Simulation Modelling Practice and Theory
Publisher:Elsevier
Place of publication:Amsterdam
Document Type:Article
Language:English
Date of Publication (online):2021/02/24
Year of first Publication:2021
Tag:Automated vehicles; Model validation; Predictive models; Safety assessment; Systems simulation; Uncertainty aggregation
Volume:2021
Issue:109
Article Number:102274
Number of pages:19 Seiten
First Page:1
Last Page:19
Institutes:Fakultät Elektrotechnik
Research focus:FSP2: Mobilität
Publication Lists:Schick, Bernhard
Publication reviewed:begutachtet
Release Date:2024/02/19
Verstanden ✔
Diese Webseite verwendet technisch erforderliche Session-Cookies. Durch die weitere Nutzung der Webseite stimmen Sie diesem zu. Unsere Datenschutzerklärung finden Sie hier.