Qualitative Risk Assessment Methodology for Autonomous Vehicle Crash Scenarios
Rs · Resource
Individual
http://proethica.org/ontology/case/165#Qualitative_Risk_Assessment_Methodology_for_Autonomous_Vehicle_Crash_Scenarios
Properties
Instance of
Confidence
0.85
Created by
Engineering risk assessment team / automobile manufacturer
Document title
Risk Assessment Framework for Unavoidable Crash Scenarios in Autonomous Vehicle Systems
Importance
high
Used by
Engineer A and the engineering risk assessment team
Used in context
Structured professional methodology for estimating and communicating the likelihood and magnitude of potential harm to passengers, pedestrians, cyclists, and motorcyclists in unavoidable crash scenarios, used by the engineering risk assessment team to evaluate competing design options for the vehicle's decision logic
Source Evidence
Source text
Engineer A is assigned to an engineering risk assessment team whose members are being asked to make a recommendation relating to potential situations that could arise in connection with the operation of driverless/autonomous vehicles
Text references
Engineer A is assigned to an engineering risk assessment team whose members are being asked to make a recommendation relating to potential situations that could arise in connection with the operation of driverless/autonomous vehicles
does the vehicle's system choose the outcome that will likely result in the greatest potential for safety for the vehicle's passengers or does the vehicle's software system instead choose an option in which the least amount of potential harm is done to any of those involved in an accident
TTL
@prefix case165: <http://proethica.org/ontology/case/165#> .
@prefix owl: <http://www.w3.org/2002/07/owl#> .
@prefix proeth: <http://proethica.org/ontology/intermediate#> .
@prefix prov: <http://www.w3.org/ns/prov#> .
@prefix rdfs: <http://www.w3.org/2000/01/rdf-schema#> .
@prefix xsd: <http://www.w3.org/2001/XMLSchema#> .
case165:Qualitative_Risk_Assessment_Methodology_for_Autonomous_Vehicle_Crash_Scenarios a proeth:QualitativeRiskAssessment,
owl:NamedIndividual ;
rdfs:label "Qualitative Risk Assessment Methodology for Autonomous Vehicle Crash Scenarios" ;
proeth:conceptCategory "Resource" ;
proeth:confidence "0.85" ;
proeth:createdby "Engineering risk assessment team / automobile manufacturer" ;
proeth:discoveredincase "165" ;
proeth:discoveredinpass "1" ;
proeth:discoveredinsection "facts" ;
proeth:documenttitle "Risk Assessment Framework for Unavoidable Crash Scenarios in Autonomous Vehicle Systems" ;
proeth:firstdiscoveredat "2026-02-27T23:22:34.682925+00:00" ;
proeth:firstdiscoveredincase "165" ;
proeth:generatedattime "2026-02-27T23:22:34.682925+00:00" ;
proeth:importance "high" ;
proeth:resourceclass "Qualitative Risk Assessment" ;
proeth:sourcetext "Engineer A is assigned to an engineering risk assessment team whose members are being asked to make a recommendation relating to potential situations that could arise in connection with the operation of driverless/autonomous vehicles" ;
proeth:textreferences "Engineer A is assigned to an engineering risk assessment team whose members are being asked to make a recommendation relating to potential situations that could arise in connection with the operation of driverless/autonomous vehicles",
"does the vehicle's system choose the outcome that will likely result in the greatest potential for safety for the vehicle's passengers or does the vehicle's software system instead choose an option in which the least amount of potential harm is done to any of those involved in an accident" ;
proeth:usedby "Engineer A and the engineering risk assessment team" ;
proeth:usedincontext "Structured professional methodology for estimating and communicating the likelihood and magnitude of potential harm to passengers, pedestrians, cyclists, and motorcyclists in unavoidable crash scenarios, used by the engineering risk assessment team to evaluate competing design options for the vehicle's decision logic" ;
proeth:wasattributedto "Case 165 Extraction" ;
prov:generatedAtTime "2026-02-27T23:40:57.911865"^^xsd:dateTime ;
prov:wasGeneratedBy "ProEthica Case 165 Extraction" .
Metadata
Extraction details
Discovered in case
165
Discovered in pass
1
Discovered in section
facts
First discovered
2026-02-27T23:22:34.682925+00:00
First case
165
Generated
2026-02-27T23:22:34.682925+00:00
Attributed to
Case 165 Extraction
Generated
2026-02-27T23:40:57.911865
Generated by
ProEthica Case 165 Extraction