Documentation:FIB book/Accident Reconstruction

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Abstract

As vehicles play an integral role in daily life, drivers often underestimate the potential risks associated with each journey. This review aims to provide a comprehensive summary of accident reconstruction, emphasizing its significance in scenarios lacking eyewitnesses or instances of hit-and-run accidents. The primary emphasis lies in the biomechanical aspects of accident reconstruction, particularly regarding injuries resulting from vehicle collisions. The implications of this research extend into both the legal and medical domains. Accident reconstruction involves recreating scenes to determine contributing factors and mechanics, encompassing elements such as weather conditions and mechanical concepts. Weather conditions, such as rain, snow, and black ice, contribute significantly to accidents, and understanding their role is crucial in the reconstruction process. Moreover, the review highlights the collaboration between accident reconstruction experts and professionals in the legal and medical fields. Experts often work in conjunction with coroners and medical professionals to reverse-engineer the scene of an accident from a victim's injuries. In essence, this literature review serves as a valuable resource for comprehending the biomechanical intricacies of vehicle accident reconstruction. It contributes to the broader understanding of how accidents unfold, the factors influencing them, and the role of collaboration between accident reconstruction experts and professionals in the legal and medical realms.

Introduction

Biomechanical analyses have been integral to the field of vehicle accident investigation for the past several decades[1][2]. These analyses typically involve assessing injuries, determining occupant kinematics, and evaluating the impact forces on the body [2][3][4]. Through expert examination of road and traffic conditions, it is possible to identify the causes and factors contributing to accidents [5]. An increasing number of contemporary motor vehicles are outfitted with various safety features designed for the protection of drivers and passengers, including seat belts, airbags, and crush zones [6][8]. The effectiveness of these safety systems is evident in the reduction of fatalities in accidents. Nevertheless, despite the widespread adoption of such safety measures, fatal traffic accidents still occur, accounting for approximately 1.25 million victims globally each year [7][8]. In Germany, for instance, in 2014, 28,500 individuals were involved in car collisions or were struck by one, resulting in around 3,000 fatalities [8]. Deaths worldwide are attributed to motorized two- and three-wheelers, comprising 28% of the total [7]. Unusual accident scenarios warrant on-site investigations involving various professionals, including police officers, forensic pathologists, and technical experts. This approach allows for a firsthand assessment and the chance for interdisciplinary discussions. Such investigations frequently provide crucial early insights that can prove valuable in criminological inquiries, particularly in cases involving concealed crimes [8].

In the intricate tapestry of vehicular dynamics, the occurrence of accidents is an unfortunate reality that demands meticulous analysis and comprehension. As an integral facet of this pursuit, accident reconstruction emerges as a pivotal discipline, serving as the bridge between the unforeseen chaos of collisions and a systematic understanding of their mechanics. This review aims to illuminate the symbiotic relationship between accident reconstruction and injury biomechanics, with a particular emphasis on the realm of vehicle collisions. The process of vehicular accident reconstruction involves the thorough investigation, analysis, and drawing of conclusions regarding the causes and events surrounding a vehicle collision. Accident reconstructionists may be employed to conduct comprehensive collision analyses, aiming to identify contributing factors in various collisions. This encompasses an examination of the roles played by drivers, vehicles, roadways, traffic conditions, lighting, and the overall environment. In cases involving death and/or personal injury, and particularly when evidence is absent or incomplete, conducting accident reconstruction becomes not only essential but often mandatory [9].

The fundamental stages of Accident Reconstruction

Establishing the events of an accident with a reasonable level of certainty involves a process of accident reconstruction that incorporates biomechanics, injury analysis, and human factors as crucial analytical elements [2]. The procedure employs the scientific method as a framework to assess the compatibility or consistency of various aspects of data or information collected regarding an accident [2] (Fig 1).

Figure 1- Illustration outlining the scientific method tailored for accident reconstruction [2].

During the initial phase, contextual information is collected to comprehend the overall circumstances of the accident, providing a foundation for scientific inquiry. Subsequently, hypotheses are developed, often framed as testable statements or questions, guiding the analytical process. The pivotal step involves the testing of these hypotheses, wherein a protocol is established to collect data that either corroborates or challenges the formulated statements or addresses the posed questions [2].

Data Collection and Evidence Preservation

The comprehensive reconstruction of accidents, regardless of their recency, involves the collection of data from various sources, encompassing both the accident site and other pertinent elements. A detailed inspection of the accident site may be imperative, extending to examinations of vehicles, broken objects, clothing, and other relevant components. Furthermore, the scrutiny of exemplar items emerges as a valuable practice. Exemplars, undamaged entities identical to the make, model, and equipment that are associated with the accident-involved components, and are inspected using state-of-the-art technology [1]. This involves employing various tools, including digital video and photography, unmanned aerial imagery (drones), 3D laser scanning, low light photography, light metering, headlight mapping, sound pressure level measurements, and binaural or ambisonic audio recording. These tools are instrumental in capturing pertinent data and evidence from the exemplar, accident scene, or other elements contributing to the accident. In the context of automobile collisions involving both passenger and commercial vehicles, an array of tools is employed for extracting information. Event Data Recorders (EDRs or "black boxes"), security cameras, Lytx Drivecams, Heavy Truck engine control modules  (ECMs[SM3] ), GPS tracking, and infotainment systems are among the sources yielding valuable insights. Physical inspections, complemented by access to databases and other resources containing pertinent information on vehicles involved in collisions, further contribute to the wealth of data available to reconstructionists. Recognizing and navigating the multitude of data sources and evidence is a critical aspect of reconstructing any event. Engaging with a qualified and experienced reconstruction expert proves invaluable in identifying and accessing all relevant data and evidence sources [9].  


Analysis

Accessing a comprehensive set of data and evidence is of paramount importance; however, the significance extends beyond acquisition to the strategic utilization of collected information. The integration and consideration of available data and evidence become imperative to discern the appropriateness of various analysis tools. Reconstructionists engage in a multifaceted approach, employing tools such as hand calculations, spreadsheets, CAD drawings, layouts, and sophisticated 3D physics-based simulation tools when scrutinizing specific events [9]. In certain circumstances, the creation of a 3D digital twin of the environment becomes a requisite step, utilizing information from site inspections. The synthesis of this digital twin with collected data, calculations, and simulations proves instrumental in delineating the time-distance relationship among diverse objects and vehicles/vessels involved in an accident, while simultaneously addressing visibility concerns. Ultimately, this synthesis contributes to establishing a comprehensive 3D dynamic understanding of the unfolding events during an accident, a key focus in accident reconstruction methodologies.


Communication of Findings

Executing a precise and comprehensive event reconstruction holds little value if the outcomes cannot be conveyed clearly and straightforwardly. Within the realm of accident reconstruction, effective communication of findings often relies on visual representation. Fortunately, the techniques and tools utilized for gathering and analysis of data and evidence can be leveraged and integrated to construct a comprehensive, physics-based representation of the events leading to an accident. Unlike artistic renderings, these representations encapsulate the scientific intricacies of a reconstruction, offering an accurate portrayal [9].


Factors Influencing Accident Reconstruction

Fig 2. Factors influencing accident reconstruction include human, environmental as well as product/machine

Accident reconstruction constitutes a multidisciplinary process wherein information is systematically assembled to ascertain the sequence of events leading to an accident. The precision and comprehensiveness of this reconstruction can be influenced by various factors. For instance, environmental conditions such as weather and lighting play a pivotal role, particularly affecting visibility in nighttime accidents [10]. Table 1 shows a overall representation of factors influencing accident reconstruction. The mechanical condition of vehicles, encompassing elements like brakes and tires, significantly impacts collision dynamics [11,12]. Road conditions, including wet or rough surfaces, and the geometric features of roadways, such as curves, intersections, and slopes, also contribute to the dynamics of accidents [12].

Driver behaviour, inclusive of perception and reaction times, is a crucial aspect that shapes the outcome of accidents [13]. Eyewitness statements provide essential information related to the incident. Analyzing vehicle speed and damage aids in understanding the extent of harm and facilitates the reconstruction of the sequence of events and forces involved [12].

Visual documentation, such as the positioning of vehicles, photographs, and videos, offers comprehensive data about the accident [12]. Physical evidence, including debris, broken glass, and personal belongings, further contributes to understanding accident dynamics. Reconstruction specialists employ sophisticated computer simulations and modeling software to recreate the accident scene. Autopsy and medical reports are valuable in providing insights into injuries and fatalities resulting from the accident, contributing to a comprehensive restoration of the crash and its aftermath [12].


Gathering Physical Evidence from Sources

Three approaches, namely Camera Matching, Photogrammetry, and Rectification, are employed to gather physical evidence from various sources. The procedure involves creating a comprehensive forensic map that depicts the evidence about the roadway and the dynamic motion of the vehicle.

Camera Matching

The camera matching technique involves utilizing photographs taken by the investigating officer at the accident scene. To determine the geometry of the roadway, a laser survey of the accident area must be conducted. Subsequently, CAD software was employed to generate a 3D model of the road surface based on the survey data. By integrating the camera matching technique, a virtual camera was positioned parallel to the 3D road surface, replicating the conditions and directions of the camera used by the investigator. Consequently, physical evidence from the photographs was mapped onto the 3D roadway, creating a 2D or 3D representation of the accident scene. Once physical evidence was identified, a scaled 3D vehicle was placed at the accident site to comprehensively analyze vehicle positions, velocity, and vehicle dynamics [14].

Photogrammetry

Photogrammetry is a method that entails capturing and scrutinizing photographs to derive precise measurements and generate 3D models or point clouds of objects or scenes[15]. It utilizes the principles of geometry, optics, and computer vision to reconstruct the three-dimensional structure of the captured subject matter[15]. The deformation of the vehicle is a crucial factor in accident investigations. Photogrammetry plays a key role in assessing the extent of damage by utilizing photographs taken from various positions around the vehicle, taking into account its dimensions. This process allows for the creation of a scaled 3D model of the damaged vehicle. Subsequently, the photographs are imported into the PhotoModeler software to identify common features in each image. PhotoModeler, based on principles of geometry and optics, calculates the positions of these selected features in a 3D coordinate system. To obtain an accurate scaled model of the damaged vehicle, the data is then exported to a 3D software program. Forensic experts leverage this model to determine the position, speed, and forces experienced by the vehicles [14].

Photographic Rectification

Photographic rectification is employed to examine evidence that might not have been measured at the accident site [17][18]. Two-dimensional rectification converts a single photograph into a top-down perspective.[17] A software tool like PC-Rect can be utilized to import and rectify a digital photograph or a digital scan of a photograph. In this process, the forensic engineer identifies established roadway dimensions within the photograph, encompassing lane line spacing and widths. Subsequently, the software utilizes these dimensions to calculate the camera's position, orientation, and specifications. If the engineer possesses information about the camera's position or specifications, they can input this data into the software to enhance accuracy. In the 2D rectification transformation, it is assumed that the point on the road, the camera's focal point, and the point on the image plane align in a straight line. To rectify the photograph, the "light" is projected from the camera position, passing through the image plane and landing onto a flat surface [18].

In the image rectification process, the forensic engineer begins with a photograph taken by the officer at the scene, highlighting important features at the scene of the accident. The subsequent step involves outlining the area for rectification and entering the known roadway dimensions. Following this, the software utilizes these dimensions to calculate the camera's position, orientation, and specifications.  The result is a scaled orthographic image depicting the physical evidence on the roadway—a valuable tool for the forensic engineer in the reconstruction analysis [18].


Legal Aspects of Accident Reconstruction

Reconstruction specialists employ contemporary techniques to identify crucial clues related to an accident. The elements involved in reconstructing an accident scene include a comprehensive examination of the vehicles involved in accident by experts, analysis of crash site photographs, and assessment of various reports such as traffic collisions, crash tests, witness statements, published studies, and other relevant documents. In order to determine the alignment of injuries with available evidence, reconstruction experts scrutinize the medical records of the victims. Accident reconstructionists might also examine data recorded by the vehicle's event data recorder, commonly referred to as the "black box," to evaluate the circumstances leading to and during the collision[19].

Forensic Biomechanics

Multi-body Modeling

Multi-body modeling utilizes rigid bodies and joints to replicate an object's mechanical characteristics. The geometry of such models typically consists of ellipsoids and/or facets. In the case of multi-body human body models, varied contact properties and joint motion characteristics are defined to simulate the mechanical attributes of different body regions and joints. Similarly, multi-body systems can represent the geometric and mechanical features of vehicle fronts. Notable examples of primary ellipsoid multi-body human body models include MADYMO pedestrian models and the Chalmers pedestrian model (CPM). These models have seen widespread use, providing accurate predictions for overall kinematics in vehicle-to-pedestrian collisions. However, their ability to predict detailed injuries is limited due to constraints in modeling vehicle contact characteristics derived from cadaver tests. Despite this limitation, multi-body simulations are extensively applied in reconstructing real-world pedestrian accidents and analyzing the dynamic response of pedestrians[20,21,22,23]. Figure 3 showcases a sophisticated approach to accident reconstruction that integrates automatic simulation and multi-objective optimizations. This method is specifically designed to model the interaction between a car and an e-bike [28].

Fig 3: A smart approach to reconstructing accidents, incorporating automatic simulation and multi-objective optimizations, particularly focused on modeling the interaction between a car and an e-bike.

Finite Element Modeling

Finite Element (FE) modeling is instrumental in the examination of injuries and understanding mechanisms within forensic biomechanics. The accuracy of these models is highly dependent on factors such as the mathematical properties of human tissues and their corresponding material characteristics. The foundation of forensic biomechanics now rests on human material testing. Stress-strain curves of biological tissues typically exhibit nonlinearity, anisotropy, and viscoelasticity. Improved representation of body fluids might be achieved through the use of Non-Newtonian fluid models [24].

Significant efforts have been made to extensively test material properties in human tissues, and these findings have been applied in biomechanical modeling and case studies. Various injury criteria, including the head injury criterion, cumulative strain damage measure, brain injury criterion, and maximum principal strain for the head, as well as the thoracic trauma index, combined thoracic index, and viscous criterion for the thorax, have been developed. These criteria offer crucial data for both biomechanical modeling and the analysis of injuries.

Cost and Expenses of Accident Reconstruction

The expense associated with accident reconstruction varies for each case, contingent upon the extent of work required to arrive at a reliable conclusion. For instance, if the expert must examine six distinct cars or sift through numerous witness statements, or furnish substantial data to substantiate their findings, the cost may increase. It's important to note that not every reconstruction is necessarily exorbitant; rather, the cost corresponds to the level of effort invested. Typically, fees for an accident reconstruction specialist fall within the range of $3,000 to $10,000. Table 2 represents the general fee schedules of different services involved in accident reconstruction.

                                                       Table 2: Fee Schedules [27]

Service Fee Structure
Labor $175.00 per hour, plus expenses
Court, Mediation, Arbitration, Hearings $200.00 per hour (4-hour minimum), plus expenses
Deposition $225.00 per hour (4-hour minimum), plus expenses
Retainer $1,000.00 to$1,500.00 depending on the case

Qualifications of Accident Reconstructionists

Typically, there are no specific college or graduate-programs dedicated to accident reconstruction, although certain organizations, such as the Society of Automotive Engineers, provide certificates in this field. Therefore, an expert's qualifications hinge on practical training, knowledge, and experience gained in real-world scenarios. An expert in accident reconstruction needs proficiency in car dynamics, photogrammetry, physics, mathematics, engineering, and computer applications, which include simulation tools. Additionally, a comprehension of accident investigation, potentially coupled with law enforcement experience, is essential for bolstering credibility in the courtroom [19].


Limitations

The limitations of accident reconstruction stem from factors such as the quantity and quality of available information, the expertise of the individuals conducting the reconstruction, the extent of reconstruction required, and the constraints of time and budget [25]. Crash data fails to address all inquiries.[2]. Crash data is susceptible to volatility. In numerous vehicles, the on-board computer module that records crash data often necessitates replacement after the deployment of airbags [26].


Conclusion

In conclusion, this literature review highlights the significant role of biomechanical analysis in the realm of vehicle accident reconstruction and underscores the implications for both the legal and medical fields. The integration of biomechanics provides a comprehensive understanding of injury mechanisms, contributing valuable insights to accident investigations. By bridging the gap between engineering principles and medical knowledge, this interdisciplinary approach enhances the accuracy of reconstructions and informs legal and medical professionals alike. As advancements in biomechanical modeling and material testing continue, the potential for refining injury criteria and enhancing reconstruction methodologies becomes increasingly promising. The synthesis of biomechanical analysis with accident reconstruction serves as a crucial tool for elucidating the complexities of vehicular accidents, ultimately fostering improved outcomes in legal and medical contexts.

References

1.    Spitz, W. U., 1968, “Reconstruction of Accidents: Integration of Pathologic and Roadside Evidence,” Accident Pathology: Proceedings of an International Conference, K. M. Brinkhous, ed., Washington, DC, pp. 26-35

2.    Knox, Erick H., et al. “Methods of accident reconstruction: Biomechanical and human factors considerations.” Volume 14: Emerging Technologies; Safety Engineering and Risk Analysis; Materials: Genetics to Structures, 2015, https://doi.org/10.1115/imece2015-53666.

3.     Nahum, A. M., and Gomez, M. A., 1994, “Injury Reconstruction: The Biomechanical Analysis of

Accidental Injury,” SAE Paper No. 940568.

4.     Bready, J. E., Nordhagen, R. P., Perl, T. R., and James, M.B., 2002, “Methods of Occupant Kinematics Analysis in Automobile Crashes,” SAE Paper No. 2002-01-0536

5.    Evtiukov, Sergei, et al. “Methods of accident reconstruction and investigation given the parameters of vehicle condition and road environment.” Transportation Research Procedia, vol. 20, 2017, pp. 185–192, https://doi.org/10.1016/j.trpro.2017.01.049.

6.    Burke, M. P. (2006). Forensic medical investigation of motor vehicle incidents. CRC Press.

7.    World Health Organization. (2015). Global status report on road safety 2015. World Health Organization.

8.    Nerger, E., Bayer, R., Gärtner, T., Dreßler, J., & Ondruschka, B. (2017). Traffic accident or dumping?–Striking results of a traffic accident reconstruction. Legal Medicine, 24, 63-66.

9.    The Three Basic Steps of an Accident Reconstruction.” Explico www.explico.com/post/basic-steps-of-accident-reconstruction

10.  Understanding night-time visibility reconstruction. Biomechanics Expert. (2021, March 1). https://www.tlsforensic.com/understanding-night-time-visibility-reconstruction

11.  Wikimedia Foundation. (2023, April 9). Traffic collision reconstruction. Wikipedia. https://en.wikipedia.org/wiki/Traffic_collision_reconstruction

12.  Nphm. (2023, October 2). What evidence do crash reconstructions reveal during car accident claims?. Nurenberg Paris. https://www.nphm.com/blog/auto-accident/what-evidence-do-crash-reconstructions-reveal-during-car-accident-claims/

13.  Llc, S. (n.d.). Human factors analysis. Introtech. https://www.introtechcrashreconstruction.com/services/human-factors-analysis#:~:text=In%20many%20accident%20reconstruction%20cases,drugs%20and%2For%20fatigue

14.  Ziernicki, R.M., Danaher, D.A., & Ball, J. (2007). Forensic Engineering Evaluation of Physical Evidence in Accident Reconstruction. J. Natl. Acad. Forensic Eng. 24(2).

15.  Photogrammetry for accident reconstruction with A.V.T Drones. (n.d.). https://img1.wsimg.com/blobby/go/168291fc-1970-49f3-a9bf 12353e7fe29d/downloads/Explore%20Photogrammetry%20With%20A.V.T%20Drones.pdf?ver=1692731012619

16. Catena AM, Treglia M, Marsella LT, Locatelli M, Rosato E, Kabir A, Bonelli M, D’Ovidio C. When the Helmet Is Not Enough: Forensic Multidisciplinary Reconstruction of a Deadly Motorcycle Accident. Diagnostics. 2022; 12(10):2465. https://doi.org/10.3390/diagnostics12102465

17.  Wikimedia Foundation. (2023b, October 2). Accident analysis. Wikipedia. https://en.wikipedia.org/wiki/Accident_analysis

18.  Ziernicki, R.M., Danaher, D.A., & Ball, J. (2007). Forensic Engineering Evaluation of Physical Evidence in Accident Reconstruction. J. Natl. Acad. Forensic Eng. 24(2).

19.  Reconstruction of car accidents. Patrick Daniel Law. (2022, September 27). https://www.patrickdaniellaw.com/blog/accident-reconstructionist/

20.  Liu, X. J., Yang, J. K., & Lövsund, P. (2002). A study of influences of vehicle speed and front structure on pedestrian impact responses using mathematical models. Traffic injury prevention, 3(1), 31-42.  

21.  Nie, J., Li, G., & Yang, J. (2015). A study of fatality risk and head dynamic response of cyclist and pedestrian based on passenger car accident data analysis and simulations. Traffic injury prevention, 16(1), 76-83.

22.  Elliott, J. R., Simms, C. K., & Wood, D. P. (2012). Pedestrian head translation, rotation and impact velocity: The influence of vehicle speed, pedestrian speed and pedestrian gait. Accident Analysis & Prevention, 45, 342-353.

23.  Rooij L, Bhalla K, Meissner M, et al. Pedestrian crash reconstruction using multi-body modeling with geometrically detailed, validated vehicle models and advanced pedestrian injury criteria. 2003

24. Holzapfel G, Ogden R. Mechanics of biological tissue. Heidelberg: Springer; 2006.

25.  Author(s) J S Baker; L B Fricke, & Corporate Author Northwestern University Traffic Institute Address 405 Church Street. (n.d.). Process of traffic accident reconstruction. Process of Traffic Accident Reconstruction | Office of Justice Programs. https://www.ojp.gov/ncjrs/virtual-library/abstracts/process-traffic-accident-reconstruction#additional-details-0

26.  https://www.meaforensic.com/vehicle-black-boxes-data-limitations-in-accident-reconstruction/

27.  Stephen R. Benanti - Accident Reconstruction Specialist (stephenbenanti.com)

28.  Liu, Yu, et al. “An intelligent method for accident reconstruction involving car and e-bike coupling automatic simulation and multi-objective optimizations.” Accident Analysis & Prevention, vol. 164, 2022, p. 106476, https://doi.org/10.1016/j.aap.2021.106476.

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