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Investigating the factors affecting bicycle-car crash severity at intersections using a combination of Newtonian Mechanics and statistical modelling

thesis
posted on 29.07.2021, 04:40 by SAREH BAHROLOLOOM
A limited number of studies have explored the dynamics of the crash to understand how particular crash scenarios led to more severe injury outcomes for bicyclists. This study addressed this knowledge gap through utilizing a conceptual framework to model the entire bicycle-car crash process. A combination of Newtonian Mechanics and statistical analysis was utilised to develop this theory. Results of this study showed that the addition of kinetic energy of the car before crash and the kinetic energy of the bicycle post-crash had a statistically significant effect on injury severity of bicyclist.

History

Campus location

Australia

Principal supervisor

William Young

Additional supervisor 1

David Logan

Year of Award

2021

Department, School or Centre

Civil Engineering

Course

Doctor of Philosophy

Degree Type

DOCTORATE

Faculty

Faculty of Engineering