Reconstruction of a Car–Running Pedestrian Accident Based on a Humanoid Robot Method
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 m...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-09-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/23/18/7882 |
| _version_ | 1797576981761490944 |
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| author | Qian Wang Bo Wei Zheng Wei Shang Gao Xianlong Jin Peizhong Yang |
| author_facet | Qian Wang Bo Wei Zheng Wei Shang Gao Xianlong Jin Peizhong Yang |
| author_sort | Qian Wang |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-10T22:02:25Z |
| format | Article |
| id | doaj.art-779439cacb4940b494c4c50f186d0b93 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-10T22:02:25Z |
| publishDate | 2023-09-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-779439cacb4940b494c4c50f186d0b932023-11-19T12:55:31ZengMDPI AGSensors1424-82202023-09-012318788210.3390/s23187882Reconstruction of a Car–Running Pedestrian Accident Based on a Humanoid Robot MethodQian Wang0Bo Wei1Zheng Wei2Shang Gao3Xianlong Jin4Peizhong Yang5School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai 200240, ChinaAerospace System Engineering Shanghai, Shanghai 201109, ChinaSchool of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai 200240, ChinaSchool of Petroleum Engineering, China University of Petroleum, Qingdao 266580, ChinaSchool of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai 200240, ChinaSchool of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai 200240, ChinaDue 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.https://www.mdpi.com/1424-8220/23/18/7882humanoid robotrigid–flexible coupled humanrunning pedestriantraffic accident reconstructionhuman biomechanicscar–running pedestrian accident |
| spellingShingle | Qian Wang Bo Wei Zheng Wei Shang Gao Xianlong Jin Peizhong Yang Reconstruction of a Car–Running Pedestrian Accident Based on a Humanoid Robot Method Sensors humanoid robot rigid–flexible coupled human running pedestrian traffic accident reconstruction human biomechanics car–running pedestrian accident |
| title | Reconstruction of a Car–Running Pedestrian Accident Based on a Humanoid Robot Method |
| title_full | Reconstruction of a Car–Running Pedestrian Accident Based on a Humanoid Robot Method |
| title_fullStr | Reconstruction of a Car–Running Pedestrian Accident Based on a Humanoid Robot Method |
| title_full_unstemmed | Reconstruction of a Car–Running Pedestrian Accident Based on a Humanoid Robot Method |
| title_short | Reconstruction of a Car–Running Pedestrian Accident Based on a Humanoid Robot Method |
| title_sort | reconstruction of a car running pedestrian accident based on a humanoid robot method |
| topic | humanoid robot rigid–flexible coupled human running pedestrian traffic accident reconstruction human biomechanics car–running pedestrian accident |
| url | https://www.mdpi.com/1424-8220/23/18/7882 |
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