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Participants of this course will receive a copy of the book Vehicle Accident Analysis and Reconstruction Methods by Raymond and Matthew Brach, and Motorcycle Accident Reconstruction by Nathan Rose.

This course has been approved by the Accreditation Commission for Traffic Accident Reconstruction (ACTAR) for 21 Continuing Education Units (CEUs). Upon completion of this course, accredited reconstructionists should mail a copy of their course certificate of achievement and the $5 participant CEU fee to ACTAR, PO Box 1493, North Platte, NE 69103. ...Photographs and video recordings of vehicle crashes and accident sites are more prevalent than ever, with dash mounted cameras, surveillance footage, and personal cell phones now ubiquitous.

It also provides a detailed description of tire marks and its characteristics in order to investigate accident reconstruction, tire failure modes, their potential causes, identification, and the sometimes-subtle nuances that go along with the determination of tire failure.

This course has been approved by the Accreditation Commission for Traffic Accident Reconstruction (ACTAR) for 13 Continuing Education Units (CEUs). Upon completion of this course, accredited reconstructionists should mail a copy of their course certificate of achievement and the $5 participant CEU fee to ACTAR, PO Box 1493, North Platte, NE 69103 Please note, participants are required to bring a laptop to this course to utilize the electronic handout materials.

For automotive engineers involved in crash reconstruction and analysis, a knowledge of basic accident reconstruction principles and techniques is essential, but often insufficient to answer all of the questions posed by design engineers, regulators, and lawyers. ...This course takes participants beyond the basics of accident reconstruction to physical models and analysis techniques that are unique to the reconstruction of single-vehicle rollover crashes.

Many technical projects, most vehicle and component testing, and all accident reconstructions, product failure analyses, and other forensic investigations, require photographic documentation.

Count on SAE International®—the global leader in technical learning for mobility professionals—to deliver emerging research, consumer metrics, regulatory standards and the latest innovations to advance mobility at the WCX World Congress event.

Count on SAE International®—the global leader in technical learning for mobility professionals—to deliver emerging research, consumer metrics, regulatory standards and the latest innovations to advance mobility at the WCX World Congress event.

Thousands of engineers researchers and decision makers from across the industry will converge online to collaborate on the shift to mobility in the first ever WCX Digital Summit

Thousands of engineers researchers and decision makers from across the industry will converge online to collaborate on the shift to mobility in the first ever WCX Digital Summit

Siegel Accident Reconstruction Associates, Inc. 2012 Duane Tiede  ATI, Inc. 2011 David R. Lancaster General Motors 2010 Joseph M.

If you are not able to attend WCX 2022 in-person, you will have the opportunity to join a selected number of live technical and executive discussions online that will advance your skill set in propulsion, connectivity security and safety as well as the business of technology.

The objectives of this study were to provide insights on how injury risk is influenced by occupant demographics such as sex, age, and size; and to quantify differences within the context of commonly-occurring real-world crashes. The analyses were confined to either single-event collisions or collisions that were judged to be well-defined based on the absence of any significant secondary impacts. These analyses, including both logistic regression and descriptive statistics, were conducted using the Crash Investigation Sampling System for calendar years 2017 to 2021. In the case of occupant sex, the findings agree with those of many recent investigations that have attempted to quantify the circumstances in which females show elevated rates of injury relative to their male counterparts given the same level bodily insult. This study, like others, provides evidence of certain female-specific injuries.

We propose a method for reconstructing the accident situation (“reconstruction method”) which consists of rebuilding the situation immediately before the collision (“pre-crash situation”) using data collected during that time by an event data recorder (EDR) and a dashboard camera (DBC) onboard one or both of the vehicles involved. ...After being combined with the DBC’s video data, the trajectory was projected onto the road surface around the accident site, which allowed us not only to display on a single road map the vehicle’s traveling trajectory, but also to provide, on each point along the trajectory, diverse information from EDR data and freeze-frame pictures of the road ahead from the DBC. The reconstruction method was then applied to a real-world accident involving the collision of two vehicles at an intersection. ...When investigating traffic accidents, it is important to determine the causes. To do so, it is necessary to reconstruct the accident situation accurately and in detail using objective and diverse information.

The on-board emergency call system with accurate occupant injury prediction can help rescuers deliver more targeted traffic accident rescue and save more lives. We use machine learning methods to establish, train, and validate a number of classification models that can predict occupant injuries (by determining whether the MAIS (Maximum Abbreviated Injury Scale) level is greater than 2) based on crash data, and ranked the correlation of some factors affecting vehicle occupant injury levels in accidents. ...We use machine learning methods to establish, train, and validate a number of classification models that can predict occupant injuries (by determining whether the MAIS (Maximum Abbreviated Injury Scale) level is greater than 2) based on crash data, and ranked the correlation of some factors affecting vehicle occupant injury levels in accidents. The optimal model was selected by the model prediction accuracy, and the Grid Search method was used to optimize the hyper-parameters for the model. ...The model is based on 2799 two-vehicle collision accident data from NHTSA CISS (The Crash Investigation Sampling System of NHTSA) traffic accident database.The results show that the model achieves high-precision prediction of occupant injury MAIS level (recall rate 0.8718, AUC(Area under Curve) 0.8579) without excluding vehicle model, and the top 8 relevant features given by the model are: lateral speed change, occupant age, longitudinal speed change, seat belt usage, occupant gender, lateral speed change direction, airbag trigger, and longitudinal speed change direction.