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Drainage Troughs as a Protective Measure in Subway–Pedestrian Collisions : A Multibody Model Evaluation

Hall, Daniel ; Gildea, Kevin LU and Simms, Ciaran (2024) In Applied Sciences (Switzerland) 14(22).
Abstract

Featured Application: Evaluating the effect of train impact velocity, pedestrian position, and station environment on head injury and run-over risk. Application to future safety device design. Introduction: Subway–pedestrian collisions are a significant and growing problem, but they are poorly understood. This study presents the first subway–pedestrian collision model with the aim of evaluating the baseline safety performance of an R160 NYC train and track combination and the potential safety effects of drainage trough depth. Methods: A baseline simulation test sample of 384 unique impacts (8 velocities (2–16 m/s), 24 positions (standing jumping and lying), and 2 track types (flat and crossties)) was created in MADYMO. The full... (More)

Featured Application: Evaluating the effect of train impact velocity, pedestrian position, and station environment on head injury and run-over risk. Application to future safety device design. Introduction: Subway–pedestrian collisions are a significant and growing problem, but they are poorly understood. This study presents the first subway–pedestrian collision model with the aim of evaluating the baseline safety performance of an R160 NYC train and track combination and the potential safety effects of drainage trough depth. Methods: A baseline simulation test sample of 384 unique impacts (8 velocities (2–16 m/s), 24 positions (standing jumping and lying), and 2 track types (flat and crossties)) was created in MADYMO. The full simulation test sample (N = 1920) included with various depth drainage troughs (0–1 m). Head injuries and wheel and third rail contacts were evaluated. Results: Limb–wheel contact occurred in 60% of scenarios. Primary and secondary contact HIC15 showed similar high severity, with an HIC15 < 2000 (88% risk of AIS 4+) in 29% of results for both train and ground contact. Impact velocity strongly influences primary contact HIC15 with limited effect on secondary contact. Impact velocities between 6 and 16 m/s showed little change in wheel contact. Increasing the trough depth up to 0.5 m showed a decrease in wheel contact probability with little increase in secondary contact. No further benefits were found above 0.5 m. Conclusions: A subway–pedestrian collision model is presented which predicts that wheel–pedestrian contact risk can be reduced with a 0.5 m drainage trough. The model suggests that slower impact velocities may reduce head injury risk for primary contact; however, this will have less effect on injuries caused by secondary and wheel contact.

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Please use this url to cite or link to this publication:
author
; and
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
head injury risk, multibody modelling, pedestrian safety, rail safety, simulation, subway train
in
Applied Sciences (Switzerland)
volume
14
issue
22
article number
10738
publisher
MDPI AG
external identifiers
  • scopus:85210576358
ISSN
2076-3417
DOI
10.3390/app142210738
language
English
LU publication?
yes
additional info
Publisher Copyright: © 2024 by the authors.
id
b0d9ebcb-242f-4376-81e9-06ab35b0c71e
date added to LUP
2025-01-15 15:56:09
date last changed
2025-04-04 14:49:37
@article{b0d9ebcb-242f-4376-81e9-06ab35b0c71e,
  abstract     = {{<p>Featured Application: Evaluating the effect of train impact velocity, pedestrian position, and station environment on head injury and run-over risk. Application to future safety device design. Introduction: Subway–pedestrian collisions are a significant and growing problem, but they are poorly understood. This study presents the first subway–pedestrian collision model with the aim of evaluating the baseline safety performance of an R160 NYC train and track combination and the potential safety effects of drainage trough depth. Methods: A baseline simulation test sample of 384 unique impacts (8 velocities (2–16 m/s), 24 positions (standing jumping and lying), and 2 track types (flat and crossties)) was created in MADYMO. The full simulation test sample (N = 1920) included with various depth drainage troughs (0–1 m). Head injuries and wheel and third rail contacts were evaluated. Results: Limb–wheel contact occurred in 60% of scenarios. Primary and secondary contact HIC<sub>15</sub> showed similar high severity, with an HIC<sub>15</sub> &lt; 2000 (88% risk of AIS 4+) in 29% of results for both train and ground contact. Impact velocity strongly influences primary contact HIC<sub>15</sub> with limited effect on secondary contact. Impact velocities between 6 and 16 m/s showed little change in wheel contact. Increasing the trough depth up to 0.5 m showed a decrease in wheel contact probability with little increase in secondary contact. No further benefits were found above 0.5 m. Conclusions: A subway–pedestrian collision model is presented which predicts that wheel–pedestrian contact risk can be reduced with a 0.5 m drainage trough. The model suggests that slower impact velocities may reduce head injury risk for primary contact; however, this will have less effect on injuries caused by secondary and wheel contact.</p>}},
  author       = {{Hall, Daniel and Gildea, Kevin and Simms, Ciaran}},
  issn         = {{2076-3417}},
  keywords     = {{head injury risk; multibody modelling; pedestrian safety; rail safety; simulation; subway train}},
  language     = {{eng}},
  number       = {{22}},
  publisher    = {{MDPI AG}},
  series       = {{Applied Sciences (Switzerland)}},
  title        = {{Drainage Troughs as a Protective Measure in Subway–Pedestrian Collisions : A Multibody Model Evaluation}},
  url          = {{http://dx.doi.org/10.3390/app142210738}},
  doi          = {{10.3390/app142210738}},
  volume       = {{14}},
  year         = {{2024}},
}