Model based detection and reconstruction of road traffic accidents

This thesis describes the detection and reconstruction of traffic accidents with event data recorders.The underlying idea is to describe the vehicle motion and dynamics up to the stability limit by means of linear and non-linear vehicle models. These models are used to categorize the driving behavio...

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Հիմնական հեղինակ: Hiemer, Marcus
Ձևաչափ: Online
Լեզու:անգլերեն
Հրապարակվել է: KIT Scientific Publishing 2021
Խորագրեր:
Առցանց հասանելիություն:34678
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author Hiemer, Marcus
author_browse Hiemer, Marcus
author_facet Hiemer, Marcus
author_sort Hiemer, Marcus
collection Directory of Open Access Books
description This thesis describes the detection and reconstruction of traffic accidents with event data recorders.The underlying idea is to describe the vehicle motion and dynamics up to the stability limit by means of linear and non-linear vehicle models. These models are used to categorize the driving behavior and to freeze the recorded data in a memory if an accident occurs.Based on these data, among others the vehicle trajectory is reconstructed with fuzzy data fusion. The side slip angle which is a crucial quantity describing the vehicle stability is estimated with non-linear state observers and Kalman-Filters. The methodologies presented may lead from accident reconstruction considered here to accident avoidance.
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institution Directory of Open Access Books
language eng
publishDate 2021
publishDateRange 2021
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publisher KIT Scientific Publishing
publisherStr KIT Scientific Publishing
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spelling doab-20.500.12854ir-536612024-04-09T23:15:31Z Model based detection and reconstruction of road traffic accidents Hiemer, Marcus T1-995 Side Slip Angle Accident Detection Modelling Accident Reconstruction thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues This thesis describes the detection and reconstruction of traffic accidents with event data recorders.The underlying idea is to describe the vehicle motion and dynamics up to the stability limit by means of linear and non-linear vehicle models. These models are used to categorize the driving behavior and to freeze the recorded data in a memory if an accident occurs.Based on these data, among others the vehicle trajectory is reconstructed with fuzzy data fusion. The side slip angle which is a crucial quantity describing the vehicle stability is estimated with non-linear state observers and Kalman-Filters. The methodologies presented may lead from accident reconstruction considered here to accident avoidance. 2021-02-11T19:52:24Z 2021-02-11T19:52:24Z 2019-07-30 20:01:58 2005 book 34678 3937300341 https://directory.doabooks.org/handle/20.500.12854/53661 eng image/jpeg https://www.ksp.kit.edu/3937300341 KIT Scientific Publishing 10.5445/KSP/1000001370 10.5445/KSP/1000001370 68fffc18-8f7b-44fa-ac7e-0b7d7d979bd2 3937300341 IV, 225 p. open access
spellingShingle T1-995
Side Slip Angle
Accident Detection
Modelling
Accident Reconstruction
thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues
Hiemer, Marcus
Model based detection and reconstruction of road traffic accidents
title Model based detection and reconstruction of road traffic accidents
title_full Model based detection and reconstruction of road traffic accidents
title_fullStr Model based detection and reconstruction of road traffic accidents
title_full_unstemmed Model based detection and reconstruction of road traffic accidents
title_short Model based detection and reconstruction of road traffic accidents
title_sort model based detection and reconstruction of road traffic accidents
topic T1-995
Side Slip Angle
Accident Detection
Modelling
Accident Reconstruction
thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues
topic_facet T1-995
Side Slip Angle
Accident Detection
Modelling
Accident Reconstruction
thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues
url 34678
work_keys_str_mv AT hiemermarcus modelbaseddetectionandreconstructionofroadtrafficaccidents