Vehicle Accident Analysis and Reconstruction Methods (Paperback, 3rd Revised edition)

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.

General

Imprint:	SAE International
Country of origin:	United States
Release date:	2022
Authors:	Matthew Brach • James Mason • Raymond M Brach
Dimensions:	229 x 152mm (L x W)
Format:	Paperback
Pages:	596
Edition:	3rd Revised edition
ISBN-13:	978-1-4686-0419-1
Categories:	Books > Professional & Technical > Transport technology > Automotive technology > General Books > Computing & IT > Applications of computing > Databases > Data mining Books > Sport & Leisure > Transport: general interest > Road & motor vehicles: general interest > General
LSN:	1-4686-0419-8
Barcode:	9781468604191

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