Development and Application of Digital Human Models in the Field of Vehicle Collisions: A Review

Wang, Qian; Lou, Yunfeng; Li, Tong; Jin, Xian

doi:10.1007/s10439-021-02794-z

Cited by 8 publications

(6 citation statements)

References 76 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The simulation results from the first stage were input into the car–running pedestrian collision simulation model ( Figure 9 c–e). Then, the velocities are applied to the car and the pedestrian, consecutively, and the friction coefficients between the car and the ground, the pedestrian and the ground, and the car and the pedestrian were defined as 0.7, 0.6, and 0.3, respectively [ 4 , 5 ]. Finally, after several simulation iterations, the information about the pedestrian motion posture and rest position under different vehicle velocities, running velocities, and collision angles were obtained.…”

Section: Examples and Resultsmentioning

confidence: 99%

“…In a car–running pedestrian TA, the pedestrian’s head and lower limbs are the most vulnerable, and craniocerebral injury is the most critical factor in disability and even death of the pedestrian [ 36 ]. The important criteria for judging the craniocerebral injury and lower extremity fractures are (i) the head injury criterion (HIC) [ 4 ] value and (ii) the von Mises stress of the lower extremities [ 37 ]. The simulated injury results were compared with the forensic autopsy results as shown in Table 3 .…”

Section: Examples and Resultsmentioning

confidence: 99%

“…In addition, human injuries caused by TAs are diverse due to the complexity of causes. As well as head and neck injuries, limb and chest injuries are extremely common, especially lower limb fractures and visceral injuries [ 4 ].…”

Section: Introductionmentioning

confidence: 99%

“…The existing FE (MB) HBMs cannot meet the needs of simultaneously reconstructing the RP collision process and simulating the associated biomechanical injuries [ 8 ]. Therefore, to solve this problem, researchers have proposed a hybrid HBM with different functions and characteristics, which has been gradually applied to accident cases [ 4 ].…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Reconstruction of a Car–Running Pedestrian Accident Based on a Humanoid Robot Method

Wang,

Wei,

Wei

et al. 2023

Sensors

Self Cite

View full text Add to dashboard Cite

Due to the characteristics of multibody (MB) and finite element (FE) digital human body models (HBMs), the reconstruction of running pedestrians (RPs) remains a major challenge in traffic accidents (TAs) and new innovative methods are needed. This study presents a novel approach for reconstructing moving pedestrian TAs based on a humanoid robot method to improve the accuracy of analyzing dynamic vehicle–pedestrian collision accidents. Firstly, we applied the theory of humanoid robots to the corresponding joints and centroids of the TNO HBM and implemented the pedestrian running process. Secondly, we used rigid–flexible coupling HBMs to build pedestrians, which can not only simulate running but also analyze human injuries. Then, we validated the feasibility of the RP reconstruction method by comparing the simulated dynamics with the pedestrian in the accident. Next, we extracted the velocity and posture of the pedestrian at the moment of collision and further validated the modeling method through a comparison of human injuries and forensic autopsy results. Finally, by comparing two other cases, we can conclude that there are relative errors in both the pedestrian injury results and the rest position. This comparative analysis is helpful for understanding the differences in injury characteristics between the running pedestrian and the other two cases in TAs.

show abstract

Section: Examples and Resultsmentioning

confidence: 99%

Section: Examples and Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Reconstruction of a Car–Running Pedestrian Accident Based on a Humanoid Robot Method

Wang,

Wei,

Wei

et al. 2023

Sensors

Self Cite

View full text Add to dashboard Cite

show abstract

“…The application of the existing criteria is mainly based on intracranial pressure such as coup pressure and contrecoup pressure [30,38], kinematics of the head centre of gravity (CG) such as head injury criterion (HIC), head impact power (HIP), rotational injury criterion (RIC) and brain injury criterion (BrIC) [39][40][41], brain tissue deformation such as maximum principal strain (MPS) and cumulative strain damage measure that depend on the brain deformation predicted using FE head models [38,42,43]. These criteria were widely used for the assessment of human body injury due to various impact loadings such as vehicle crash and sport events [38,42,44,45], in which the evaluation and improvement of the helmet is a critical topic [46][47][48][49][50]. However, the investigation of the head injury of the ESS riders was inadequate; particularly, research dedicated to the brain injury of the ESS riders has, to the best of the authors' knowledge, not been reported in the literature before.…”

Section: Introductionmentioning

confidence: 99%

Numerical investigation of the rider's head injury in typical single-electric self-balancing scooter accident scenarios

Fang

Huang

et al. 2022

J. R. Soc. Interface.

View full text Add to dashboard Cite

As the use of electric self-balancing scooters (ESSs) increases, so does the number of related traffic accidents. Because of the special control method, mechanical structure and driving posture, ESSs are prone to various single-vehicle accidents, such as collisions with fixed obstacles and falls due to mechanical failures. In various ESS accident scenarios, the rider's head injury is the most frequent injury type. In this study, several typical single-ESS accident scenarios are reconstructed via computational methods, and the risk of riders' head/brain injury is assessed in depth using various injury criteria. Results showed that two types of ESSs (solo- and two-wheeler) do not have clear differences in head kinematics and head injury risks; the head kinematics (or falling posture) and ESS accident scenario exhibit a distinct effect on the head injury responses; half of the analysed ESS riders have a 50% probability of skull fracture, a few riders have a 50% risk of abbreviated injury scale (AIS) 4+ brain injury, and none has a diffuse axonal injury; the ESS speed plays an important role in producing the head/brain injury in ESS riders, and generally, higher ESS speed generates higher level of predicted head injury parameters. These findings will provide theoretical support for preventing head injury among ESS riders and data support for developing and legislating ESSs.

show abstract

Special Issue: 50th Anniversary of ABME

Duma

2022

Ann Biomed Eng

View full text Add to dashboard Cite

2022 marks the 50th Anniversary of the Annals of Biomedical Engineering (ABME). Since 1972, ABME has published over 6000 research papers. The research published in ABME has had an enduring influence in the field of biomedical engineering over these past 50 years. This impact is evident in ABME's consistently increasing Impact Factors. In the most recent 2021 edition, ABME had an all-time high Impact Factor of 4.219. ABME is the flagship journal of the Biomedical Engineering Society (BMES), accumulating a total of 15,000 citations over the last 50 years. This editorial will cover the impression ABME has made on the field, and the original journal and review papers that contributed to the accomplishments ABME has achieved over its lifetime.

show abstract

Development and Application of Digital Human Models in the Field of Vehicle Collisions: A Review

Cited by 8 publications

References 76 publications

Reconstruction of a Car–Running Pedestrian Accident Based on a Humanoid Robot Method

Reconstruction of a Car–Running Pedestrian Accident Based on a Humanoid Robot Method

Numerical investigation of the rider's head injury in typical single-electric self-balancing scooter accident scenarios

Special Issue: 50th Anniversary of ABME

Contact Info

Product

Resources

About