What has been investigated
CMC's accident analysis is based on real, reconstructed accidents from the German In-Depth Accident Study (GIDAS) and its pre-crash matrix simulation database (GIDAS-PCM).
The reason to choose this database, which includes data from all kinds of traffic accidents with personal damage, is its extensive accident information collection such as accident site, vehicle, participant, and injury; including the accident reconstruction and possibility for proper weighting. Furthermore, the accident information includes items like road conditions, speed, visibility, trajectories, actions of the participants etc.
CMC has started its accidentology research with some of the most frequent types of motorcycle accidents that were found in the database: 'Crossing Traffic' and 'Left Turn' scenarios.
In CMC's analysis, a total of 23 potential influencing factors were investigated and reported, including the ones that eventually did not appear to have an important contribution to the accident. The simulation database allowed an additional 5 investigations to understand the accident situation more clearly, including the 'Time-To-Collision'. All this is gathered in the report "Accident Analysis - Crossing Traffic and Left Turn".
The reason to choose this database, which includes data from all kinds of traffic accidents with personal damage, is its extensive accident information collection such as accident site, vehicle, participant, and injury; including the accident reconstruction and possibility for proper weighting. Furthermore, the accident information includes items like road conditions, speed, visibility, trajectories, actions of the participants etc.
CMC has started its accidentology research with some of the most frequent types of motorcycle accidents that were found in the database: 'Crossing Traffic' and 'Left Turn' scenarios.
In CMC's analysis, a total of 23 potential influencing factors were investigated and reported, including the ones that eventually did not appear to have an important contribution to the accident. The simulation database allowed an additional 5 investigations to understand the accident situation more clearly, including the 'Time-To-Collision'. All this is gathered in the report "Accident Analysis - Crossing Traffic and Left Turn".
Important outcomes
From the analysis, an important outcome is that no explicit view obstruction existed in the majority of cases, but still participant A (mainly cars/ trucks) overlooked participant B (mainly PTWs) or misjudged the situation. This implies that there is a need for technology support to inform participant A of the existence of oncoming participant B.
In addition, the study of TTC shows that the earliest possibility to notify a vehicle driver/ rider is 4.5 seconds (median) before the collision in case of crossing traffic accident type 302, while it is 1.5 seconds (median) in case of left turn accident type 211.
In addition, the study of TTC shows that the earliest possibility to notify a vehicle driver/ rider is 4.5 seconds (median) before the collision in case of crossing traffic accident type 302, while it is 1.5 seconds (median) in case of left turn accident type 211.
Visual overview
Scroll through the slides to see a short introduction to this topic
Documentation
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