Statistical and machine-learning methods for clearance time prediction of road incidents: A methodology review
Accurate clearance time prediction for road incident would be helpful to evaluate the
incident impacting range and provide route guiding strategy according to the predicted …
incident impacting range and provide route guiding strategy according to the predicted …
Determinants of bicyclist injury severities in bicycle-vehicle crashes: A random parameters approach with heterogeneity in means and variances
A Behnood, F Mannering - Analytic methods in accident research, 2017 - Elsevier
This paper investigates risk factors that significantly contribute to the injury severity of
bicyclists in bicycle/motor-vehicle crashes while systematically accounting for unobserved …
bicyclists in bicycle/motor-vehicle crashes while systematically accounting for unobserved …
Addressing unobserved heterogeneity in the analysis of bicycle crash injuries in Scotland: A correlated random parameters ordered probit approach with …
This paper investigates the determinants of injury severities in single-bicycle and bicycle-
motor vehicle crashes by estimating correlated random parameter ordered probit models …
motor vehicle crashes by estimating correlated random parameter ordered probit models …
The role of gender and temporal instability in driver-injury severities in crashes caused by speeds too fast for conditions
M Islam, F Mannering - Accident Analysis & Prevention, 2021 - Elsevier
The effect of inappropriate speed adjustment to adverse conditions on crash-injury
severities, and how this effect might vary across male and female drivers, and over time, is …
severities, and how this effect might vary across male and female drivers, and over time, is …
Analysis of accident injury-severities using a correlated random parameters ordered probit approach with time variant covariates
This paper employs a correlated random parameters ordered probit modeling framework to
explore time-variant and time-invariant factors affecting injury-severity outcomes in single …
explore time-variant and time-invariant factors affecting injury-severity outcomes in single …
Factors influencing road safety compliance among food delivery riders: An extension of the job demands-resources (JD-R) model
On-demand food delivery involves transport services based on gig-economy models. Food
delivery services rely on motorcycles in many jurisdictions, resulting in safety risks …
delivery services rely on motorcycles in many jurisdictions, resulting in safety risks …
A correlated random parameters with heterogeneity in means approach of deer-vehicle collisions and resulting injury-severities
This paper investigates deer-vehicle collisions and their resulting injury-severities in a
threefold approach. Two random parameters binary logit models with heterogeneity in …
threefold approach. Two random parameters binary logit models with heterogeneity in …
A random thresholds random parameters hierarchical ordered probit analysis of highway accident injury-severities
G Fountas, PC Anastasopoulos - Analytic methods in accident research, 2017 - Elsevier
This study uses highway accident data collected in the State of Washington, between 2011
and 2013, to study the factors that affect accident injury-severities. To account for the fixed …
and 2013, to study the factors that affect accident injury-severities. To account for the fixed …
The impact of weekday, weekend, and holiday crashes on motorcyclist injury severities: Accounting for temporal influence with unobserved effect and insights from out …
This paper examines the differences between weekday, weekend, and holiday crashes on
the severity of motorcyclist injury using four-year motorcycle crash data in Thailand from …
the severity of motorcyclist injury using four-year motorcycle crash data in Thailand from …
Analysis of safety benefits and security concerns from the use of autonomous vehicles: A grouped random parameters bivariate probit approach with heterogeneity in …
This paper investigates public perceptions towards potential safety benefits, and safety-and
security-related concerns from the future use of autonomous vehicles by utilizing data …
security-related concerns from the future use of autonomous vehicles by utilizing data …