The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.
An evidence based method to calculate pedestrian crossing speeds in vehicle collisions (PCSC)
Open accessAbstract
Pedestrian accident reconstruction is necessary to establish cause of death, i.e. establishing vehicle collision speed as well as circumstances leading to the pedestrian being impacted and determining culpability of those involved for subsequent court enquiry. Understanding the complexity of the pedestrian attitude during an accident investigation is necessary to ascertain the causes leading to the tragedy. A generic new method, named Pedestrian Crossing Speed Calculator (PCSC), based on vector algebra, is proposed to compute the pedestrian crossing speed at the moment of impact. PCSC uses vehicle damage and pedestrian anthropometric dimensions to establish a combination of head projection angles against the windscreen; this angle is then compared against the combined velocities angle created from the vehicle and the pedestrian crossing speed at the time of impact. This method has been verified using one accident fatality case in which the exact vehicle and pedestrian crossing speeds were known from Police forensic video analysis. PCSC was then applied on two other accident scenarios and correctly corroborated with the witness statements regarding the pedestrians crossing behaviours. The implications of PCSC could be significant once fully validated against further future accident data, as this method is reversible, allowing the computation of vehicle impact velocity from pedestrian crossing speed as well as verifying witness accounts.
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“Safety of pedestrians in streets crossing areas can be enhanced via several methods including pedestrian recognition using computer-aided systems, crosswalk design and lighting, and pedestrian visibility increment [16].”
From Design and Implementation of Portable Smart Wireless Pedestrian Crossing Control System (2020) · cites this paper as [16]
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Citations
Cites
Muscle mechanical advantage of human walking and running: implications for energy cost
Biewener, A. A., Farley, C. T., Roberts, T. J., & Temaner, M. (2004) · Journal of Applied Physiology · doi:10.1152/japplphysiol.00003.2004 · Cited by 246
Accuracy of the Microsoft Kinect™ for measuring gait parameters during treadmill walking
Xu, X., McGorry, R. W., Chou, L., et al. (2015) · Gait & Posture · doi:10.1016/j.gaitpost.2015.05.002 · Cited by 241
Most older pedestrians are unable to cross the road in time: a cross-sectional study
Asher, L., Aresu, M., Falaschetti, E., & Mindell, J. S. (2012) · Age and Ageing · doi:10.1093/ageing/afs076 · Cited by 187
Pedestrian Post-Impact Kinematics and Injury Patterns
Ravani, B., Brougham, D., & Mason, R. (1981) · SAE technical papers on CD-ROM/SAE technical paper series · doi:10.4271/811024 · Cited by 65
The Physics of Throw Distance in Accident Reconstruction
Searle, J. A. (1993) · SAE technical papers on CD-ROM/SAE technical paper series · doi:10.4271/930659 · Cited by 46
Pedestrian response with different initial positions during impact with a mid-sized sedan
Chen, H., Poulard, D., Crandall, J., et al. (2015) · Cited by 15
The simulation of pedestrian impact with a combined multibody finite elements system model
Leglatin, N., Blundell, M., & Blount, G. N. (2006) · Journal of Engineering Design · doi:10.1080/09544820600664622 · Cited by 10
Flagged first, then by citations
Research works printed but not linked: 4
- Anon, 1997, Study compares older and younger pedestrian walking speeds, Road. Saf. J.
- Bastien, 2017, Validation of a finite element human model throw distance in pedestrian accident scenarios Salzburg, Austria, 9/05/17-11/05/17, Paper Presented at 11th European LS-DYNA Conference
- Ravani, 1981, vol. 81, 791
- Wen, 2015, Stability and sensitivity of THUMS pedestrian model and its trauma response to a Real life accident Wutzburg, Germany, LS-Dyna European Conference
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Sorted by citations
Design and Implementation of Portable Smart Wireless Pedestrian Crossing Control System
Saad, W. K., Hashim, Y., & Jabbar, W. A. (2020) · IEEE Access · doi:10.1109/access.2020.3000014 · Cited by 29
Metadata
- Authors
- Bastien, C., Wellings, R., & Burnett, B.
- Affiliations
- Coventry University (GB)
- University Hospital Coventry (GB)
- Corresponding author
- Bastien, C.
- Venue
- Accident Analysis & Prevention
- Publisher
- Elsevier BV
- Published
- 2018-09
- Volume
- 118
- Pages
- 66-76
- ISSN
- 0001-4575 (ISSN-L)
- OpenAlex
- W2803470374
- Cited by
- 12
- References
- 7
- Citations by year
- 2026: 1 · 2025: 1 · 2024: 2 · 2022: 1 · 2021: 2 · 2020: 4 · 2019: 1
- FWCI
- 2.12
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Accident Analysis & Prevention (publishedVersion)
- PubMed (publishedVersion)
- Pure (Coventry University) (submittedVersion, cc-by-nc-nd)
- Funders
- Coventry University
- Topics
- Physical Sciences › Engineering › Safety, Risk, Reliability and Quality › Traffic and Road Safety
- Physical Sciences › Engineering › Civil and Structural Engineering › Road Transport and Highway Systems
- Physical Sciences › Engineering › Biomedical Engineering › Automotive and Human Injury Biomechanics
- Keywords
- pedestrian crossing speed, vector algebra, vehicle damage, impact velocity, witness statements, traffic fatalities
- MeSH terms
- Accidents, Traffic, Pedestrians, Anthropometry, Humans, Motor Vehicles
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