Search results for "Crash severity"

showing 2 items of 2 documents

Bicycle Rider Behavior and Crash Involvement in Australia.

2021

This research investigated how behaviours and attitudes of bicycle riders influence crash frequency and severity. The study recruited 1102 Australian bicycle riders for an online survey. The survey comprised questions on demographics, frequency of riding and the number and severity of traffic crashes during the last five years. The survey included the Cycling Behaviour Questionnaire and the Cyclist Risk Perception and Regulation Scale. Overall, there were low levels of errors and violations reported by participants indicating that these behaviours were on average never or rarely exhibited while riding a bicycle. Conversely, participants reported high levels of engagement in positive behavio…

212 Civil and construction engineeringcyclingDemographicsCrash severityHealth Toxicology and Mutagenesismedia_common.quotation_subjectlcsh:MedicineCrashArticle03 medical and health sciences0302 clinical medicinePromotion (rank)Surveys and Questionnaires0502 economics and businessHumans030212 general & internal medicinemedia_common050210 logistics & transportationlcsh:R05 social sciencesPublic Health Environmental and Occupational HealthAccidents TrafficAustraliabehaviourBicyclingRisk perceptionAttitudeCrash frequencyScale (social sciences)road safetyPsychologyhuman activitiesDemographyInternational journal of environmental research and public health
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Fuzzy logic approach to predict vehicle crash severity from acceleration data

2015

Vehicle crash is a complex behavior to be investigated as a challenging topic in terms of dynamical modeling. On this aim, fuzzy logic can be utilized to analyze the crash dynamics rapidly and simply. In this paper, the experimental data of the frontal crash is recorded using an accelerometer located at the centre of the gravity of the vehicle. The acceleration signal was the raw data from which the collision intensity expressed by the kinetic energy and the jerk were derived. The fuzzy logic model was then developed from the two inputs namely kinetic energy and jerk. The output variable is the crash severity expressed as the dynamic crash. The result shows that the jerk contributes much to…

Control and OptimizationComputer scienceSIGNAL (programming language)CrashAccelerometerCollisionFuzzy logicFuzzy logic; Jerk and Kinetic energy; vehicle crash severity; Artificial Intelligence; Control and Optimization; Discrete Mathematics and CombinatoricsFuzzy logicJerk and Kinetic energyAccelerationVariable (computer science)JerkArtificial IntelligenceDiscrete Mathematics and CombinatoricsSimulationvehicle crash severity2015 International Conference on Fuzzy Theory and Its Applications (iFUZZY)
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