Evaluation of a momentum based impact model in frontal car collisions for the prospective assessment of ADAS
Abstract Motivation The advent of active safety systems calls for the development of appropriate testing methods that are able to assess their capabilities to avoid accidents or lower impact speeds and thus, to mitigate the injury severity. Up to now the assessment is mostly based on the decrease of...
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doaj-dc009ef3012c437ba71d33a345ebf0992020-11-25T02:14:02ZengSpringerOpenEuropean Transport Research Review1867-07171866-88872019-01-011111910.1186/s12544-018-0343-3Evaluation of a momentum based impact model in frontal car collisions for the prospective assessment of ADASStefan Smit0Ernst Tomasch1Harald Kolk2Michael Alois Plank3Jürgen Gugler4Hannes Glaser5Vehicle Safety Institute, Graz University of TechnologyVehicle Safety Institute, Graz University of TechnologyVehicle Safety Institute, Graz University of TechnologyVehicle Safety Institute, Graz University of TechnologyVehicle Safety Institute, Graz University of TechnologyConsultant for accident reconstructionAbstract Motivation The advent of active safety systems calls for the development of appropriate testing methods that are able to assess their capabilities to avoid accidents or lower impact speeds and thus, to mitigate the injury severity. Up to now the assessment is mostly based on the decrease of the collision speed due to CMS (collision mitigation systems). In order to assess the effects on injury severity developing methods, that are able to predict collision parameters correlating with the risk of getting injured, such as delta-v, for different impact situations is a mandatory task. Objective In this study a momentum based impact model is assessed in terms of reliability to solve the collision mechanics and therefore to predict delta-v for frontal car collisions. Method Real accidents were re-simulated using pre-defined input parameters for the impact model (virtual forward simulation – VFS). Subsequently the impact model was analyzed for its sensitivity to specific input parameters. Conclusion It was shown that VFS works for full impacts while improvements and optimizations are required for impacts that include a sliding movement in the contact zone of the vehicles.http://link.springer.com/article/10.1186/s12544-018-0343-3Driver assistance systemsCollision mitigation systemsEffectiveness assessmentImpact mechanicsPoint of impactMomentum based impact model |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Stefan Smit Ernst Tomasch Harald Kolk Michael Alois Plank Jürgen Gugler Hannes Glaser |
spellingShingle |
Stefan Smit Ernst Tomasch Harald Kolk Michael Alois Plank Jürgen Gugler Hannes Glaser Evaluation of a momentum based impact model in frontal car collisions for the prospective assessment of ADAS European Transport Research Review Driver assistance systems Collision mitigation systems Effectiveness assessment Impact mechanics Point of impact Momentum based impact model |
author_facet |
Stefan Smit Ernst Tomasch Harald Kolk Michael Alois Plank Jürgen Gugler Hannes Glaser |
author_sort |
Stefan Smit |
title |
Evaluation of a momentum based impact model in frontal car collisions for the prospective assessment of ADAS |
title_short |
Evaluation of a momentum based impact model in frontal car collisions for the prospective assessment of ADAS |
title_full |
Evaluation of a momentum based impact model in frontal car collisions for the prospective assessment of ADAS |
title_fullStr |
Evaluation of a momentum based impact model in frontal car collisions for the prospective assessment of ADAS |
title_full_unstemmed |
Evaluation of a momentum based impact model in frontal car collisions for the prospective assessment of ADAS |
title_sort |
evaluation of a momentum based impact model in frontal car collisions for the prospective assessment of adas |
publisher |
SpringerOpen |
series |
European Transport Research Review |
issn |
1867-0717 1866-8887 |
publishDate |
2019-01-01 |
description |
Abstract Motivation The advent of active safety systems calls for the development of appropriate testing methods that are able to assess their capabilities to avoid accidents or lower impact speeds and thus, to mitigate the injury severity. Up to now the assessment is mostly based on the decrease of the collision speed due to CMS (collision mitigation systems). In order to assess the effects on injury severity developing methods, that are able to predict collision parameters correlating with the risk of getting injured, such as delta-v, for different impact situations is a mandatory task. Objective In this study a momentum based impact model is assessed in terms of reliability to solve the collision mechanics and therefore to predict delta-v for frontal car collisions. Method Real accidents were re-simulated using pre-defined input parameters for the impact model (virtual forward simulation – VFS). Subsequently the impact model was analyzed for its sensitivity to specific input parameters. Conclusion It was shown that VFS works for full impacts while improvements and optimizations are required for impacts that include a sliding movement in the contact zone of the vehicles. |
topic |
Driver assistance systems Collision mitigation systems Effectiveness assessment Impact mechanics Point of impact Momentum based impact model |
url |
http://link.springer.com/article/10.1186/s12544-018-0343-3 |
work_keys_str_mv |
AT stefansmit evaluationofamomentumbasedimpactmodelinfrontalcarcollisionsfortheprospectiveassessmentofadas AT ernsttomasch evaluationofamomentumbasedimpactmodelinfrontalcarcollisionsfortheprospectiveassessmentofadas AT haraldkolk evaluationofamomentumbasedimpactmodelinfrontalcarcollisionsfortheprospectiveassessmentofadas AT michaelaloisplank evaluationofamomentumbasedimpactmodelinfrontalcarcollisionsfortheprospectiveassessmentofadas AT jurgengugler evaluationofamomentumbasedimpactmodelinfrontalcarcollisionsfortheprospectiveassessmentofadas AT hannesglaser evaluationofamomentumbasedimpactmodelinfrontalcarcollisionsfortheprospectiveassessmentofadas |
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1724902403386376192 |