Temporal analysis of crash severities involving male and female drivers: A random parameters approach with heterogeneity in means and variances
X Yan, J He, C Zhang, Z Liu, C Wang, B Qiao - Analytic methods in accident …, 2021 - Elsevier
There is a great necessity to understand the endogenous and exogenous mechanism of
how male and female driver characteristics determine the crash severity. Consequently, this …
how male and female driver characteristics determine the crash severity. Consequently, this …
The joint effect of weather and lighting conditions on injury severities of single-vehicle accidents
This study seeks to identify and analyze variations in the effect of contributing factors on
injury severities of single-vehicle accidents across various lighting and weather conditions …
injury severities of single-vehicle accidents across various lighting and weather conditions …
A comparison between artificial neural network and hybrid intelligent genetic algorithm in predicting the severity of fixed object crashes among elderly drivers
Abstract Run-off-road (ROR) crashes have always been a major concern as this type of
crash is usually associated with a considerable number of serious injury and fatal crashes. A …
crash is usually associated with a considerable number of serious injury and fatal crashes. A …
Assessing the effect of long-automated driving operation, repeated take-over requests, and driver's characteristics on commercial motor vehicle drivers' driving …
Abstract Automated Commercial Motor Vehicles (CMVs) have the potential to reduce the
occurrence of crashes, enhance traffic flow, and reduce the stress of driving to a larger …
occurrence of crashes, enhance traffic flow, and reduce the stress of driving to a larger …
Temporal stability of driver injury severity in single-vehicle roadway departure crashes: A random thresholds random parameters hierarchical ordered probit approach
M Yu, C Ma, J Shen - Analytic methods in accident research, 2021 - Elsevier
This study examines contributing variables affecting the driver injury-severity in single-
vehicle roadway departure crashes. To capture the threshold heterogeneity and unobserved …
vehicle roadway departure crashes. To capture the threshold heterogeneity and unobserved …
[HTML][HTML] Temporal instability and differences in injury severity between restrained and unrestrained drivers in speeding-related crashes
Upon detecting a crash impact, the vehicle restraint system locks the driver in place.
However, external factors such as speeding, crash mechanisms, roadway attributes, vehicle …
However, external factors such as speeding, crash mechanisms, roadway attributes, vehicle …
Single-vehicle crash severity outcome prediction and determinant extraction using tree-based and other non-parametric models
X Yan, J He, C Zhang, Z Liu, B Qiao, H Zhang - Accident Analysis & …, 2021 - Elsevier
Single-vehicle crashes are more fatality-concentrated and have posed increasing
challenges in traffic safety, which is of great research necessity. Tremendous previous …
challenges in traffic safety, which is of great research necessity. Tremendous previous …
Examination of driver injury severity in freeway single-vehicle crashes using a mixed logit model with heterogeneity-in-means
The study presented in this paper thoroughly investigated factors influencing driver injury
severity in freeway single-vehicle crashes. Crash data from 2013 to 2017 for freeways in …
severity in freeway single-vehicle crashes. Crash data from 2013 to 2017 for freeways in …
Modelling the effect of aggressive driver behavior on longitudinal performance measures during car-following
Driving aggression is a major concern during car-following situations as it is closely
associated with collision risk and crash severity. Despite the tendency of reckless driving …
associated with collision risk and crash severity. Despite the tendency of reckless driving …
Advancing proactive crash prediction: A discretized duration approach for predicting crashes and severity
Driven by advancements in data-driven methods, recent developments in proactive crash
prediction models have primarily focused on implementing machine learning and artificial …
prediction models have primarily focused on implementing machine learning and artificial …