2015•BERICHTE DER BUNDESANSTALT FUER STRASSENWESEN. UNTERREIHE FAHRZEUGTECHNIKRequires access

Tool for the determination of influence parameters on the accident emergence during the pre-crash phase as an enhancement of the Accident Causation Analysis System ACAS

B Pund, Michael Jaensch, Dietmar Otte

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Abstract

The German accident survey GIDAS is based on an Accident Causation Analysis System (ACAS) which focuses on an on-scene data collection of predominantly directly event-related causation factors which were crucial in the accident emergence as situational resulting events and influences. It is conducted directly at the accident (on-scene), shortly after the accident occurrence (in-time) with the detection of human-related causes (in-depth). Overlasting influence factors which are temporally active before the accident and which themselves are not a direct cause of the accident, however, which play an indirect, rather moderating role in the accident occurrence, are only marginally detected by ACAS, which focuses on the situational factors within the conflict phase. The enhancement by means of moderating conditions concerns the pre-crash phase in different levels: strategical, tactical and operational. This study deals with the presentation of such moderating conditions and displays the possibilities and limitations to make these factors accessible for an accident analysis as an addition to the data from ACAS. With the help of two examples from the human system component possible data sources and the possibilities of identifying hidden immanent hazards in the field of personality and traffic-relevant diseases are displayed (inclination to aggression and diabetes). Although moderating conditions are more difficult to identify than ACAS data, indicators for the presence of such indirect effective causation factors can be identified in the scope of in in-depth accident data collection.

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What this paper is about

The German accident survey GIDAS is based on an Accident Causation Analysis System (ACAS) which focuses on an on-scene data collection of predominantly directly event-related causation factors which were crucial in the accident emergence as situational resulting events and influences. It is conducted directly at the accident (on-scene), shortly after the accident occurrence (in-time) with the detection of human-related causes (in-depth). Overlasting influence factors which are temporally active before the accident and which themselves are not a direct cause of the accident, however, which play an indirect, rather moderating role in the accident occurrence, are only marginally detected by ACAS, which focuses on the situational factors within the conflict phase. The enhancement by means of moderating conditions concerns the pre-crash phase in different levels: strategical, tactical and operational. This study deals with the presentation of such moderating conditions and displays the possibilities and limitations to make these factors accessible for an accident analysis as an addition to the data from ACAS. With the help of two examples from the human system component possible data sources and the possibilities of identifying hidden immanent hazards in the field of personality and traffic-relevant diseases are displayed (inclination to aggression and diabetes). Although moderating conditions are more difficult to identify than ACAS data, indicators for the presence of such indirect effective causation factors can be identified in the scope of in in-depth accident data collection.

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Available abstract

The German accident survey GIDAS is based on an Accident Causation Analysis System (ACAS) which focuses on an on-scene data collection of predominantly directly event-related causation factors which were crucial in the accident emergence as situational resulting events and influences. It is conducted directly at the accident (on-scene), shortly after the accident occurrence (in-time) with the detection of human-related causes (in-depth). Overlasting influence factors which are temporally active before the accident and which themselves are not a direct cause of the accident, however, which play an indirect, rather moderating role in the accident occurrence, are only marginally detected by ACAS, which focuses on the situational factors within the conflict phase. The enhancement by means of moderating conditions concerns the pre-crash phase in different levels: strategical, tactical and operational. This study deals with the presentation of such moderating conditions and displays the possibilities and limitations to make these factors accessible for an accident analysis as an addition to the data from ACAS. With the help of two examples from the human system component possible data sources and the possibilities of identifying hidden immanent hazards in the field of personality and traffic-relevant diseases are displayed (inclination to aggression and diabetes). Although moderating conditions are more difficult to identify than ACAS data, indicators for the presence of such indirect effective causation factors can be identified in the scope of in in-depth accident data collection.

Key concepts: Causation, Accident (philosophy), Accident analysis, Situational ethics, Accident investigation, Crash, Psychology, Computer science

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Tool for the determination of influence parameters on the accident emergence during the pre-crash phase as an enhancement of the Accident Causation Analysis System ACAS — Research Paper | ScholarLens