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

Qian Wang, Bo Wei, Zheng Wei, Shang Gao, Xianlong Jin, Peizhong Yang

Open access · goldAbstract read

In one paragraph

Article in Sensors (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it

0cells of the map it votes in

0citing papers in PubMed

0.5field-weighted citation impact, top 28% of its field

1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed, 2 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 2 institutions in 1 country.

Qian WangSchool of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China.ORCID 0000-0003-3879-2894

Bo WeiAerospace System Engineering Shanghai, Shanghai 201109, China.

Zheng WeiSchool of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China.

Shang GaoSchool of Petroleum Engineering, China University of Petroleum, Qingdao 266580, China.

Xianlong JinSchool of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China.

Peizhong YangSchool of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China.

Shanghai Jiao Tong University · CNChina University of Petroleum, East China · CN

Funding

the National Key Research and Development Program of China 2016YFB0201800the National Natural Science Foundation of China 11772192

6 · The paper itself

Abstract

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.

Indexed as

Accidents, TrafficPedestriansRoboticsRunningComputer SimulationFinite Element AnalysisHumanscar–running pedestrian accidenthuman biomechanicshumanoid robotrigid–flexible coupled humanrunning pedestriantraffic accident reconstruction

Identifiers

PMID37765938

DOI10.3390/s23187882

PMCPMC10535210

OpenAlexW4386781798

What OpenQuestion holds

Textmetadata

LicenceCC BY

Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.