A comparison between artificial neural network and hybrid intelligent genetic algorithm in predicting the severity of fixed object crashes among elderly drivers

AM Amiri, A Sadri, N Nadimi, M Shams - Accident Analysis & Prevention, 2020 - Elsevier
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 …

[HTML][HTML] Effects of design consistency measures and roadside hazard types on run-off-road crash severity: application of random parameters hierarchical ordered …

SA Khan, S Yasmin, MM Haque - Analytic methods in accident research, 2023 - Elsevier
Run-off-road crashes are one of the most significant causes of road deaths worldwide. Given
such significant safety concerns, a number of earlier studies examined the critical factors …

Investigating factors affecting injury severity of single-vehicle run-off-road crashes

IU Khan, D Motuba, K Vachal - Accident Analysis & Prevention, 2024 - Elsevier
This study aimed to identify and investigate the contributing factors influencing injury severity
in single-vehicle run-off-road (ROR) crashes, which are known for their high severity. The …

Impact of combined alignments on lane departure: A simulator study for mountainous freeways

Y Chen, M Quddus, X Wang - Transportation research part C: emerging …, 2018 - Elsevier
Lane departures are responsible for many side-swipe, rear-end and single-vehicle run-off-
road crashes. There is a dearth of research, however, on how lane departures are impacted …

Evaluating the safety risk of roadside features for rural two-lane roads using reliability analysis

M Jalayer, H Zhou - Accident Analysis & Prevention, 2016 - Elsevier
The severity of roadway departure crashes mainly depends on the roadside features,
including the sideslope, fixed-object density, offset from fixed objects, and shoulder width …

Improving roadside design policies for safety enhancement using hazard-based duration modeling

C Roque, M Jalayer - Accident Analysis & Prevention, 2018 - Elsevier
Roadway departure (RwD) crashes, comprising run-off-road (ROR) and cross-
median/centerline head-on collisions, are one of the most lethal crash types. Nationwide …

Predicting driver injury severity in single-vehicle and two-vehicle crashes with boosted regression trees

C Lee, X Li - Transportation research record, 2015 - journals.sagepub.com
The boosted regression tree model is an emerging nonparametric tree-based model that
can capture nonlinear effects of both discrete and continuous variables without …

Analysis of single-vehicle roadway departure crashes on rural curved segments accounting for unobserved heterogeneity

M Islam, A Pande - Transportation research record, 2020 - journals.sagepub.com
Roadway departure crashes are one of the core emphasis areas in Strategic Highway
Safety Plans (SHSP). These crashes, especially on rural roads, lead to a disproportionately …

Evaluating the safety risk of rural roadsides using a Bayesian network method

T Tang, S Zhu, Y Guo, X Zhou, Y Cao - International journal of …, 2019 - mdpi.com
Evaluating the safety risk of rural roadsides is critical for achieving reasonable allocation of a
limited budget and avoiding excessive installation of safety facilities. To assess the safety …

Middle-aged drivers' subjective categorization for combined alignments on mountainous freeways and their speed choices

F Wang, Y Chen, J Guo, C Yu, M Stevenson… - Accident Analysis & …, 2019 - Elsevier
Road geometric design is a fundamental factor that impacts driving speed. Previous
research generally paid attentions to the influences of specific road characteristics (eg …