Vehicle Accident Analysis and Reconstruction Methods, Second Edition

10.4271/r-397 ◽  
2011 ◽  
Author(s):  
Raymond M Brach ◽  
Matthew Brach
Keyword(s):  
Accident Analysis ◽  
Vehicle Accident ◽  
Reconstruction Methods

Vehicle Accident Analysis and Reconstruction Methods

2022 ◽  
Author(s):  
James Mason ◽  
Raymond M Brach ◽  
Matthew Brach
Keyword(s):  
Accident Analysis ◽  
Accident Reconstruction ◽  
Essential Work ◽  
Crash Data ◽  
Vehicle Accident ◽  
Use Of Technology ◽  
Reconstruction Methods ◽  
Vehicle Motion ◽  
Vehicle Sensors ◽  
Scientific Engineering

In this third edition of Vehicle Accident Analysis & Reconstruction Methods, Raymond M. Brach and R. Matthew Brach have expanded and updated their essential work for professionals in the field of accident reconstruction. Most accidents can be reconstructed effectively using of calculations and investigative and experimental data: the authors present the latest scientific, engineering, and mathematical reconstruction methods, providing a firm scientific foundation for practitioners. Accidents that cannot be reconstructed using the methods in this book are rare. In recent decades, the field of crash reconstruction has been transformed through the use of technology. The advent of event data records (EDRs) on vehicles signaled the era of modern crash reconstruction, which utilizes the same physical evidence that was previously available as well as electronic data that are measured/captured before, during, and after the collision. There is increased demand for more professional and accurate reconstruction as more crash data is available from vehicle sensors. The third edition of this essential work includes a new chapter on the use of EDRs as well as examples using EDR data in accident reconstruction. Early chapters feature foundational material that is necessary for the understanding of vehicle collisions and vehicle motion; later chapters present applications of the methods and include example reconstructions. As a result, Vehicle Accident Analysis & Reconstruction Methods remains the definitive resource in accident reconstruction.

scholarly journals The comparison of vehicle headlamps

2021 ◽  
Vol 1203 (3) ◽  
pp. 032014
Author(s):  
Jakub Motl ◽  
Albert Bradáč ◽  
Filip Suchomel ◽  
Kateřina Bucsuházy
Keyword(s):  
Image Data ◽  
Accident Analysis ◽  
Static Tests ◽  
Vehicle Type ◽  
Luminance Distribution ◽  
Vehicle Accident ◽  
The Right ◽  
Model Year

Abstract The aim of this article is the comparison of vehicle headlamps in terms of pedestrians' visibility at nighttime conditions. The study was designed to gain results, which could serve as a basis for the pedestrian-vehicle accident analysis in terms of visibility during night drive. For this study were used comparable vehicles (same vehicle type and model year) with different headlamps type. Three different headlamps (halogen, xenon and LED headlamps) were used for the analysis. Experiments were carried out under similar conditions (straight road, nighttime, no disturbing factors). During a series of static tests, the vehicle approached at predefined distances to the figurant - pedestrian standing on the right side of the roadway. For the luminance analysis were used Luminance Distribution Analyser LumiDISP - software for analysing the luminance conditions based on evaluation of image data from digital photos.

A Method for Reconstructing Vehicle - Vehicle Impact Accidents Based on Pc-Crash

2014 ◽  
Vol 641-642 ◽  
pp. 799-804 ◽  
Author(s):  
Yong Gang Zhang ◽  
Jian Min Xu ◽  
Tie Fang Zou ◽  
Yu Liu
Keyword(s):  
Scene Reconstruction ◽  
Accident Reconstruction ◽  
Vehicle Modeling ◽  
Vehicle Accident ◽  
Reconstruction Methods ◽  
Vehicle Impact ◽  
Result Analysis ◽  
Drive Model ◽  
Accident Scene

To reconstruct accident succinctly and scientifically, four steps of vehicle-vehicle impact accident reconstruction based on Pc-Crash were discussed, including accident scene reconstruction, vehicle modeling, accident reconstruction, result analysis and verification. Three accident scene reconstruction methods were proposed. Key attention was paid to methods which can reduce difficulties of accident reconstruction, such as drive model, equivalent energy speed (EES) database and collision optimizer. Finally, a case study was conducted, which confirmed that the proposed four steps can simplify vehicle-vehicle accident reconstruction while maintaining satisfying objectivity and reliability. This paper can contribute to the better application of Pc-Crash to traffic accident reconstruction.

IVAA: Intelligent Vehicle Accident Analysis System

2019 ◽  
Author(s):  
Kundjanasith Thonglek ◽  
Norawit Urailertprasert ◽  
Patchara Pattiyathanee ◽  
Chantana Chantrapornchai
Keyword(s):  
Intelligent Vehicle ◽  
Accident Analysis ◽  
Vehicle Accident ◽  
Analysis System

Road Accident Analysis Factors

2012 ◽  
Vol 253-255 ◽  
pp. 1741-1746
Author(s):  
Hamed Esmaeeli ◽  
Iman Abbaszadehfallah ◽  
Othman Bin Chepuan ◽  
Seyed Hossein Hosseini
Keyword(s):  
Robust Regression ◽  
Developed Countries ◽  
Road Accident ◽  
Work Zone ◽  
Car Ownership ◽  
Accident Analysis ◽  
Effective Parameters ◽  
Accident Rate ◽  
Vehicle Accident ◽  
Regression Techniques

A large number of fatalities on road are occurred by vehicle accident. One of most significant causes of accident on road is increasing car ownership in last decade. The study is conducted to determine a relationship between car ownership and accident rate. The most effective parameters on increasing accident rate in developed countries are studied. This paper investigates a model that forecast the rate of accident on based on previous collected car ownership data. Meanwhile, those parameters can change the rate of car ownership such as income, distance between residential area and work zone, the number of employee over family size and registered car over employee are studied. The study is conducted on based on Australia data and Robust- regression techniques are used to analyse the data. The result shows robust regression reached the most effective coefficient to reduce fatalities on road.

Vehicle Accident Analysis in Surveillance Camera Using Cross-ratio

2019 ◽  
Vol 27 (10) ◽  
pp. 763-770
Author(s):  
Youngsoo Choi ◽  
Jonghyuk Kim ◽  
Yongmun Yun ◽  
Jihun Choi ◽  
Jongchan Park
Keyword(s):  
Cross Ratio ◽  
Accident Analysis ◽  
Surveillance Camera ◽  
Vehicle Accident

High-resolution scanning electron microscopy (HRSEM) of mitochondria from various rat tissues

1988 ◽  
Vol 46 ◽  
pp. 14-15
Author(s):  
P.J. Lea ◽  
M.J. Hollenberg
Keyword(s):  
Electron Microscopy ◽  
Pigment Epithelium ◽  
Retinal Pigment ◽  
Rat Hepatocytes ◽  
Three Dimensions ◽  
Objective Lens ◽  
Rat Tissues ◽  
Thin Sections ◽  
Reconstruction Methods ◽  
Scanning Electron

Our current understanding of mitochondrial ultrastructure has been derived primarily from thin sections using transmission electron microscopy (TEM). This information has been extrapolated into three dimensions by artist's impressions (1) or serial sectioning techniques in combination with computer processing (2). The resolution of serial reconstruction methods is limited by section thickness whereas artist's impressions have obvious disadvantages.In contrast, the new techniques of HRSEM used in this study (3) offer the opportunity to view simultaneously both the internal and external structure of mitochondria directly in three dimensions and in detail.The tridimensional ultrastructure of mitochondria from rat hepatocytes, retinal (retinal pigment epithelium), renal (proximal convoluted tubule) and adrenal cortex cells were studied by HRSEM. The specimens were prepared by aldehyde-osmium fixation in combination with freeze cleavage followed by partial extraction of cytosol with a weak solution of osmium tetroxide (4). The specimens were examined with a Hitachi S-570 scanning electron microscope, resolution better than 30 nm, where the secondary electron detector is located in the column directly above the specimen inserted within the objective lens.

3-D reconstruction and analysis of mammalian mitotic spindle structure

1992 ◽  
Vol 50 (1) ◽  
pp. 578-579
Author(s):  
Kent McDonald ◽  
David Mastronarde ◽  
Rubai Ding ◽  
Eileen O'Toole ◽  
J. Richard McIntosh
Keyword(s):  
Cross Sections ◽  
Mitotic Spindle ◽  
Experimental Studies ◽  
Video Camera ◽  
Three Dimensions ◽  
Mitotic Spindles ◽  
Black And White ◽  
Reconstruction Methods ◽  
Spindle Structure ◽  
Tissue Culture Line

Mammalian spindles are generally large and may contain over a thousand microtubules (MTs). For this reason they are difficult to reconstruct in three dimensions and many researchers have chosen to study the smaller and simpler spindles of lower eukaryotes. Nevertheless, the mammalian spindle is used for many experimental studies and it would be useful to know its detailed structure.We have been using serial cross sections and computer reconstruction methods to analyze MT distributions in mitotic spindles of PtK cells, a mammalian tissue culture line. Images from EM negatives are digtized on a light box by a Dage MTI video camera containing a black and white Saticon tube. The signal is digitized by a Parallax 1280 graphics device in a MicroVax III computer. Microtubules are digitized at a magnification such that each is 10-12 pixels in diameter.

Sign in / Sign up

Export Citation Format

Share Document