Prioritizing rear-end crash explanatory factors for injury severity level using deep learning and global sensitivity analysis

M Owais, A Alshehri, J Gyani, MH Aljarbou… - Expert Systems with …, 2024 - Elsevier
Traffic accidents are usually unique events with unpredictable geographical and temporal
dimensions; thus, accident injury severity level (INJ-SL) analysis presents formidable …

Variance-based global sensitivity analysis for rear-end crash investigation using deep learning

GS Moussa, M Owais, E Dabbour - Accident Analysis & Prevention, 2022 - Elsevier
Traffic accidents are rare events with inconsistent spatial and temporal dimensions; thus,
accident injury severity (INJ-S) analysis faces a significant challenge in its classification and …

Effects of speed difference on injury severity of freeway rear-end crashes: Insights from correlated joint random parameters bivariate probit models and temporal …

C Wang, M Abdel-Aty, L Han - Analytic Methods in Accident Research, 2024 - Elsevier
Rear-end crashes particularly on freeways are the most frequent type of collisions causing
many injuries, damage and congestion. This paper investigates the impact of varying speed …

Injury severity analysis of two-vehicle crashes at unsignalized intersections using mixed logit models

R Yuan, J Gan, Z Peng, Q Xiang - International Journal of Injury …, 2022 - Taylor & Francis
The severity of the two-vehicle crash is closely related to the characteristics of both the struck
and striking vehicles. Ignoring vehicle roles may lead to biased results. Thus, this study used …

Analysis of factors affecting occupant injury severity in rear-end crashes by different struck vehicle groups: A random thresholds random parameters hierarchical …

R Yuan, X Gu, Z Peng, Q Xiang - Journal of Transportation Safety & …, 2023 - Taylor & Francis
This study aims to explore the variability of risk factors affecting injury severity in rear-end
crashes when different struck vehicle groups are involved. Two types of rear-end crash data …

Severity analysis of crashes involving in-state and out-of-state large truck drivers in Alabama: a random parameter multinomial logit model with heterogeneity in …

S Okafor, EK Adanu, S Jones - Heliyon, 2022 - cell.com
The trucking sector contributes significantly to the economic vitality of the United States.
Large trucks are primarily used for transporting goods within and across states. Despite its …

Prediction of truck-involved crash severity on a rural mountainous freeway using transfer learning with resnet-50 deep neural network

MN Khan, A Das, MM Ahmed - Journal of Transportation …, 2024 - ascelibrary.org
Crashes involving heavy trucks on rural mountainous freeways are known to result in severe
injuries and fatalities, particularly under challenging driving conditions. This study aims to …

Investigating the spatial heterogeneity of factors influencing speeding-related crash severities using correlated random parameter order models with heterogeneity-in …

R Yuan, S Ding, Z Fang, X Gu, Q Xiang - Transportation Letters, 2023 - Taylor & Francis
Speeding has been acknowledged as a critical determinant in increasing the risk of crashes
and their resulting injury severities. This paper employs Global Moran's I coefficient and …

Investigating the difference in factors influencing the injury severity between daytime and nighttime speeding-related crashes

R Yuan, Q Xiang, Y Huang, X Gu - Canadian Journal of Civil …, 2023 - cdnsciencepub.com
This study investigates the differences in the factors affecting the injury severity of speeding-
related crashes occurring in the daytime and nighttime. Two log-likelihood ratio tests are …

Analysis of injury severity of work zone truck-involved crashes in South Carolina for interstates and non-interstates

M Madarshahian, A Balaram, F Ahmed, N Huynh… - Sustainability, 2023 - mdpi.com
This study investigates factors contributing to the injury severity of truck-involved work zones
crashes in South Carolina (SC). The outcome of interest is injury or property damage only …