Trauma biomechanics represents a vital research field which aims to predict injury and accidents, to evaluate bone fractures, to offer useful tools to help in rehabilitation, and to decrease the risk of injuries by means of analytical, numerical, and experimental biomechanical models.

Injury complications have an adverse impact on social, demographic, and health factors due to the poor reporting of accidental injuries in urban or marginalised areas. The consequences of the injury can range from bruising to fracture and even death, while psychological changes in behaviour and attitudes can occur, resulting in increased dependence on the injured person. Thus, the challenges for researchers are to highlight advances in the understanding of traumatic injury events. This has included reproducing new biomechanical mechanisms involving injury events, analysis of the effects of injury events in tissues, and mechanisms for injury prevention. An additional challenge is studying the data about injury events and how this is acquired in real-time. Finally, in the context of the injury, it is essential to remember that humans are still a vulnerable part in transportation, sports, and daily accidents. While technology promises to facilitate life, it will be a long time before these automated systems can eradicate human injuries.

This Special Issue aims to collect original research articles and review articles that discuss innovative methodologies for trauma biomechanics applications, to obtain a more in-depth insight into the injury behaviour of the human body. This Issue will publish studies focused on applications related to mathematical models, computer simulation, and experimental lesions measurements. Moreover, this Issue also looks to emphasise the use of experimental protocols and computational models used to reproduce accidents by impact events, as well as hitting aggression and falls from great heights. Original research and review articles are welcome.

Potential topics include but are not limited to the following:

• FEM Trauma analysis in transport
• Injury analytical models in catastrophic events
• Trauma biomechanics by computational models
• Injury experimental design, including biofeedback
• Collision accident analysis involving pedestrians, cyclists, and vehicles
• Injury assessment in transport, sports, and daily life using machine learning