Modelling the relationship of driver license and offense history with fatal and serious injury (FSI) crash involvement

D Meyer, S Muir, SSM Silva, R Slikboer… - Journal of safety …, 2021 - Elsevier
Introduction: Previous research has indicated that increases in traffic offenses are linked to
increased crash involvement rates, making reductions in offending an appropriate measure …

Potential crash involvement of young novice drivers with previous crash and citation records

S Chandraratna, N Stamatiadis… - Transportation …, 2005 - journals.sagepub.com
A goal for any licensing agency is the ability to identify crash-prone drivers. Thus, the
objective of this study is the development of a crash prediction model that can be used to …

Machine learning methods to analyze injury severity of drivers from different age and gender groups

S Mafi, Y AbdelRazig, R Doczy - Transportation research …, 2018 - journals.sagepub.com
Access to non-biased and accurate models capable of predicting driver injury severity of
collision events is vital for determining what safety measures should be implemented at …

Versatile, but not focused, traffic offenders are more likely to be at fault for a fatal crash

B Davey, A Parkes, J Freeman, L Mills, J Davey - Journal of safety research, 2022 - Elsevier
Introduction: The aim of this study was to determine whether drivers who had received more
traffic infringements were more likely to be at fault for the crash in which they were killed …

Exploring the factors contribute to the injury severities of vulnerable roadway user involved crashes

C Dong, AJ Khattak, C Shao, K Xie - International journal of injury …, 2019 - Taylor & Francis
The vehicle to pedestrian (V2P) applications will enable safety, mobility, and environmental
advancements for the vulnerable roadway user (VRU) that current technologies are unable …

Crash involvement of drivers with multiple crashes

S Chandraratna, N Stamatiadis, A Stromberg - Accident Analysis & …, 2006 - Elsevier
A goal for any licensing agency is the ability to identify high-risk drivers. Kentucky data show
that a significant number of drivers are repeatedly involved in crashes. The objective of this …

Using latent class analysis and mixed logit model to explore risk factors on driver injury severity in single-vehicle crashes

Z Li, Q Wu, Y Ci, C Chen, X Chen, G Zhang - Accident Analysis & …, 2019 - Elsevier
The single-vehicle crash has been recognized as a critical crash type due to its high fatality
rate. In this study, a two-year crash dataset including all single-vehicle crashes in New …

Using latent class clustering and binary logistic regression to model Australian cyclist injury severity in motor vehicle–bicycle crashes

SA Samerei, K Aghabayk, N Shiwakoti… - Journal of safety …, 2021 - Elsevier
Abstract Introduction: In recent years, Australia is seeing an increase in the total number of
cyclists. However, the rise of serious injuries and fatalities to cyclists has been a major …

Using traffic conviction correlates to identify high accident-risk drivers

MA Gebers, RC Peck - Accident Analysis & Prevention, 2003 - Elsevier
One of the primary missions of the California Department of Motor Vehicles is to protect the
public from drivers who represent unacceptably high accident risks. Optimum fulfillment of …

A systematic review of statistical models and outcomes of predicting fatal and serious injury crashes from driver crash and offense history data

R Slikboer, SD Muir, SSM Silva, D Meyer - Systematic reviews, 2020 - Springer
Background Expenditure on driver-related behavioral interventions and road use policy is
often justified by their impact on the frequency of fatal and serious injury crashes. Given the …