Using non-linear methods to investigate the criterion validity of traffic-psychological test batteries

Accident Analysis and Prevention

Volumn 40, Issue 1, 2008, Pages 149-157

  Risser, R ^a   Chaloupka, Ch ^a   Grundler, W ^c   Sommer, M ^b   Hausler J ^b   Kaufmann, C ^a  

^a FACTUM OHG   (Austria)

^b SCHUHFRIED GMBH   (Austria)

^c UNIVERSITY OF MUNICH   (Germany)

Author keywords

Artificial neural networks; Criterion validity; Diagnostical judgment formation; Expert system traffic; Fitness to drive; Statistical judgment formation; Traffic psychological assessment

Indexed keywords

EXPERT SYSTEMS; NEURAL NETWORKS; NONLINEAR ANALYSIS;

DIAGNOSTICAL JUDGMENT FORMATION; EXPERT SYSTEM TRAFFIC; TEST BATTERIES; TRAFFIC PSYCHOLOGICAL ASSESSMENT;

DRIVER LICENSING;

ADOLESCENT; ADULT; AGED; ARTICLE; ARTIFICIAL NEURAL NETWORK; AUSTRIA; CLINICAL TRIAL; DRIVER LICENCE; EXPERT SYSTEM; FEMALE; HUMAN; MALE; MIDDLE AGED; MULTICENTER STUDY; NONLINEAR SYSTEM; PSYCHOLOGIC TEST; REPRODUCIBILITY; STATISTICAL MODEL; TASK PERFORMANCE; VALIDATION STUDY;

ADOLESCENT; ADULT; AGED; AGED, 80 AND OVER; AUSTRIA; AUTOMOBILE DRIVER EXAMINATION; EXPERT SYSTEMS; FEMALE; HUMANS; LOGISTIC MODELS; MALE; MIDDLE AGED; NEURAL NETWORKS (COMPUTER); NONLINEAR DYNAMICS; PSYCHOLOGICAL TESTS; REPRODUCIBILITY OF RESULTS; TASK PERFORMANCE AND ANALYSIS;

EID: 38349006280     PISSN: 00014575     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.aap.2006.12.018     Document Type: Article

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