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ndltd-OhioLink-oai-etd.ohiolink.edu-osu1170792544
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ndltd-OhioLink-oai-etd.ohiolink.edu-osu11707925442021-08-03T05:51:49Z Demographic analysis and reconstruction of selected cases from the pedestrian crash data study Ko, Sung-won <p>The National Highway Traffic Safety Administration (NHTSA) initiated the Pedestrian Crash Data Study (PCDS) to provide detailed information regarding vehicle/pedestrian accidents. The PCDS was implemented to focus on pedestrian accidents occurring after 1994, involving vehicle model years 1990 and later, based on the information that was obtained through the National Accident Sampling System (NASS) at six sites across the United States. The PCDS analysis was updated from 292 cases to 521 cases using Statistical Analysis Software (SAS) to assess changes in vehicle, driver and injury profiles. The pedestrian kinematics, injury contact sources, and injuries were analyzed relative to vehicle geometry parameters such as hood length, bumper height, bumper lead and bumper lead angle.</p> <p>After analysis of the updated PCDS data, a prototype pedestrian dummy, POLAR II, (Honda R & D) was used to reconstruct two selected PCDS cases, one each for a low and a high profile vehicle. Full-scale HYGE sled test reconstructions were performed to investigate the interaction between the pedestrian and vehicle during a collision.</p> <p>The impact-induced pedestrian motion was influenced by the relative configuration of the vehicle and pedestrian at impact as well as the vehicle's impact speed and deceleration rate. Since the main goal of full-scale tests is to simulate the actual cases as closely as possible by trying to model the different collision environments, the detailed dummy stance and height were recorded prior to each test. Thus, the test results could be compared with previous tests and justification could be made to accomplish better replication of the dummy trajectory and vehicle exterior damage patterns with the actual case. As the height and stance changed, both low and high profile vehicle tests showed very similar patterns to actual cases, which indicated the feasibility of performing case reconstructions using the Polar II dummy in HYGE sled tests.</p> <p>By performing sled tests for the two selected PCDS cases using the POLAR II pedestrian dummy, the linkage between the actual case and head/leg components tests could be made stronger. This can be done through the validation and refinement of existing standards for head and leg impact testing, determination of variables in the pedestrian impact environment affecting injury outcomes, and international harmonization of accident data and test procedures. The results can eventually be used to recommend changes to vehicle design based on pedestrian injury outcomes worldwide.</p> 2001 English text The Ohio State University / OhioLINK http://rave.ohiolink.edu/etdc/view?acc_num=osu1170792544 http://rave.ohiolink.edu/etdc/view?acc_num=osu1170792544 unrestricted This thesis or dissertation is protected by copyright: all rights reserved. It may not be copied or redistributed beyond the terms of applicable copyright laws.
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NDLTD
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| language |
English
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| sources |
NDLTD
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| author |
Ko, Sung-won
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| spellingShingle |
Ko, Sung-won
Demographic analysis and reconstruction of selected cases from the pedestrian crash data study
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| author_facet |
Ko, Sung-won
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| author_sort |
Ko, Sung-won
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| title |
Demographic analysis and reconstruction of selected cases from the pedestrian crash data study
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| title_short |
Demographic analysis and reconstruction of selected cases from the pedestrian crash data study
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| title_full |
Demographic analysis and reconstruction of selected cases from the pedestrian crash data study
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| title_fullStr |
Demographic analysis and reconstruction of selected cases from the pedestrian crash data study
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| title_full_unstemmed |
Demographic analysis and reconstruction of selected cases from the pedestrian crash data study
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| title_sort |
demographic analysis and reconstruction of selected cases from the pedestrian crash data study
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| publisher |
The Ohio State University / OhioLINK
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| publishDate |
2001
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| url |
http://rave.ohiolink.edu/etdc/view?acc_num=osu1170792544
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| work_keys_str_mv |
AT kosungwon demographicanalysisandreconstructionofselectedcasesfromthepedestriancrashdatastudy
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| _version_ |
1719426781195272192
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