Abstract
The initial impact configuration constitutes a crucial element in the reconstruction of traffic accidents, offering the tribunal the factual foundation required to ascertain liability. Although human injuries represent the tragic repercussions of traffic incidents—evaluated by clinicians and causation determined by forensic pathologists—accident reconstruction experts frequently encounter difficulties in effectively utilizing injury patterns as physical evidence. This complexity is particularly evident in dynamic mechanical collisions involving motorcycles, where the mechanism of injury formation is intricate. Such intricacy not only confounds the judiciary but also risks leading to erroneous legal judgments. In this case study, the research team was engaged by a motorcyclist involved in a claim amounting to over 7.19 million NTD from a trailing rider. Utilizing the principles of the “pattern recognition method,” the team reconstructed the sequence of the incident through the analysis of patterned evidence, including the traffic environment, the relative positions of the vehicles, the dynamics of the rear-end collision, the specific Comminuted Tibial Plateau Fracture (CTPF) sustained by the trailing rider, and the final rest positions of the vehicles. Significantly, the lack of substantial vehicle damage was employed as evidence to evaluate the hypothesis concerning vehicle-to-vehicle contact, resulting in the development of a CTPF pattern injury model specific to this incident. The defendant introduced this CTPF injury pattern model in court, thereby persuading the judge to issue a subpoena for injury photographs from the plaintiff’s hospital. Upon comparison of the injury photographs with the taillight assembly of the defendant’s motorcycle, the research team identified matching morphological features. Establishing this contact as the First Point of Impact (FPOI) facilitated the successful reconstruction of the accident scene and refuted the plaintiff’s false account. To validate this methodology, the team analyzed 183 CTPF cases stemming from motor vehicle collisions (MVC) over a three-year period utilizing this injury pattern model. One matching case was identified—where a rear rider’s left knee impacted the right rear of a leading vehicle, resulting in CTPF—thereby demonstrating the model’s repeatability and reproducibility. This application of pattern recognition and the CTPF injury pattern model serves as a valuable reference for the forensic science community.
Key words: Pattern injury, First point of impact (FPOI), Pattern recognition method, Scene reconstruction, Road traffic accident