Prediction of pedestrian injuries in motorcycle-pedestrian crashes using THUMS FE-HBM

This study focuses on the high fatality rates associated with motorcycles as a mode of transport in India, surpassing trucks and cars. Over the last decade, motorcycle-related fatalities have seen a staggering increase of 232%. The Finite Element-Human Body Models (FE-HBM) have been validated for oc...

Full description

Saved in:
Bibliographic Details
Published in:International journal of crashworthiness 2024-07, Vol.29 (4), p.739-751
Main Authors: Kumar, Devendra, Singh, Kuldeep, Chawla, Anoop, Mukherjee, Sudipto
Format: Article
Language:English
Subjects:
Bones
Crashes
Fatalities
FE motorcycle
Fractures
Impact prediction
Injuries
injury prediction
Long bone
Mathematical models
Motorcycle-pedestrian
Motorcycles
Parameter estimation
pedestrian kinematics
Pedestrian safety
Pedestrians
Rigid walls
speed estimation
throw distance
Traffic accidents
Traffic accidents & safety
Trucks
Citations: Items that this one cites
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:This study focuses on the high fatality rates associated with motorcycles as a mode of transport in India, surpassing trucks and cars. Over the last decade, motorcycle-related fatalities have seen a staggering increase of 232%. The Finite Element-Human Body Models (FE-HBM) have been validated for occupants and pedestrians in car crashes. However, the performance against motorcycle impact is lacking in the literature. The primary objective of this research is to evaluate the THUMS model for injury prediction in motorcycle-pedestrian impact scenarios using a finite element motorcycle model of a widely used two wheeler in India. The motorcycle model is initially validated against a rigid wall, after which it is utilised to predict injuries in real-life motorcycle-pedestrian crash scenarios. Through multi-body simulations, crucial pre-crash parameters such as pedestrian orientation, offset and speed are estimated for five actual motorcycle-pedestrian crashes. Subsequently, finite element simulations are conducted to validate the model's accuracy in predicting pedestrian injuries. The study closely predicts the occurrence and location of fractures in long bones using strain-based criteria in four out of five cases.
ISSN:1358-8265
1754-2111
DOI:10.1080/13588265.2023.2272818