Commercial truck crash injury severity analysis using gradient boosting data mining model

Z Zheng, P Lu, B Lantz - Journal of safety research, 2018 - Elsevier
Introduction Truck crashes contribute to a large number of injuries and fatalities. This study
seeks to identify the contributing factors affecting truck crash severity using 2010 to 2016 …

Temporal instability of truck volume composition on non-truck-involved crash severity using uncorrelated and correlated grouped random parameters binary logit …

M Fanyu, NN Sze, S Cancan, C Tiantian… - Analytic Methods in …, 2021 - Elsevier
With the growing demand for inter-city freight transport, proportion of trucks in the freeway
traffic has been increasing in China and worldwide in the past decade. There have been …

Exploring key spatio-temporal features of crash risk hot spots on urban road network: A machine learning approach

P Wu, T Chen, YD Wong, X Meng, X Wang… - … research part A: policy …, 2023 - Elsevier
Traffic safety is a critical factor that has always been considered in policy making for urban
transportation planning and management. Accurately predicting crash risk hot spots allows …

Risk factors associated with truck-involved fatal crash severity: Analyzing their impact for different groups of truck drivers

Y Yuan, M Yang, Y Guo, S Rasouli, Z Gan… - Journal of safety research, 2021 - Elsevier
Introduction: Fatal crashes that include at least one fatality of an occupant within 30 days of
the crash cause large numbers of injured persons and property losses, especially when a …

Modeling of single-vehicle and multi-vehicle truck-involved crashes injury severities: A comparative and temporal analysis in a developing country

C Se, T Champahom, S Jomnonkwao… - Accident Analysis & …, 2024 - Elsevier
Truck-involved crashes persist as a significant concern, yielding noteworthy human
casualties and causing economic ramifications, particularly in developing countries. This …

The importance of flow composition in real-time crash prediction

F Basso, LJ Basso, R Pezoa - Accident Analysis & Prevention, 2020 - Elsevier
Previous real-time crash prediction models have scarcely used data disaggregated by
vehicle type such as light, heavy and motorcycles. Thus, little effort has been made to …

Latent segmentation based count models: analysis of bicycle safety in Montreal and Toronto

S Yasmin, N Eluru - Accident Analysis & Prevention, 2016 - Elsevier
The study contributes to literature on bicycle safety by building on the traditional count
regression models to investigate factors affecting bicycle crashes at the Traffic Analysis Zone …

Predicting crash frequency for multi-vehicle collision types using multivariate Poisson-lognormal spatial model: A comparative analysis

M Hosseinpour, S Sahebi, ZH Zamzuri… - Accident Analysis & …, 2018 - Elsevier
According to crash configuration and pre-crash conditions, traffic crashes are classified into
different collision types. Based on the literature, multi-vehicle crashes, such as head-on, rear …

Assessment of the effects of highway geometric design features on the frequency of truck involved crashes using bivariate regression

C Dong, SS Nambisan, SH Richards, Z Ma - Transportation Research Part …, 2015 - Elsevier
Given the enormous losses to society resulting from large truck involved crashes, a
comprehensive understanding of the effects of highway geometric design features on the …

Exploring the relationship between truck load capacity and traffic accidents in the European Union

JI Castillo-Manzano, M Castro-Nuño… - … research part E: logistics …, 2016 - Elsevier
Applying econometric techniques to EU28 panel data and controlling for explanatory
variables such as road types, we find that increased truck load capacity does not necessarily …