A comparative study on machine learning based algorithms for prediction of motorcycle crash severity
L Wahab, H Jiang - PLoS one, 2019 - journals.plos.org
Motorcycle crash severity is under-researched in Ghana. Thus, the probable risk factors and
association between these factors and motorcycle crash severity outcomes is not known …
association between these factors and motorcycle crash severity outcomes is not known …
An improved deep learning model for traffic crash prediction
Machine‐learning technology powers many aspects of modern society. Compared to the
conventional machine learning techniques that were limited in processing natural data in the …
conventional machine learning techniques that were limited in processing natural data in the …
[HTML][HTML] Factors affecting injury severity in vehicle-pedestrian crashes: A day-of-week analysis using random parameter ordered response models and Artificial Neural …
The high number of vehicle–pedestrian crashes in the United State has gained increased
attention among transportation safety analysts in recent years. Being directly exposed to the …
attention among transportation safety analysts in recent years. Being directly exposed to the …
Injury severity analysis of truck-involved crashes under different weather conditions
This paper investigates truck-involved crashes to determine the statistically significant
factors that contribute to injury severity under different weather conditions. The analysis uses …
factors that contribute to injury severity under different weather conditions. The analysis uses …
Modeling road accident severity with comparisons of logistic regression, decision tree and random forest
MM Chen, MC Chen - Information, 2020 - mdpi.com
To reduce the damage caused by road accidents, researchers have applied different
techniques to explore correlated factors and develop efficient prediction models. The main …
techniques to explore correlated factors and develop efficient prediction models. The main …
Investigating occupant injury severity of truck-involved crashes based on vehicle types on a mountainous freeway: A hierarchical Bayesian random intercept approach
Earlier research on injury severity of truck-involved crashes focused primarily on single-truck
and multi-vehicle crashes with truck involvement, or investigated truck-involved injury …
and multi-vehicle crashes with truck involvement, or investigated truck-involved injury …
Analysis of injury severity of large truck crashes in work zones
Work zones are critical parts of the transportation infrastructure renewal process consisting
of rehabilitation of roadways, maintenance, and utility work. Given the specific nature of a …
of rehabilitation of roadways, maintenance, and utility work. Given the specific nature of a …
Risk factors associated with truck-involved fatal crash severity: Analyzing their impact for different groups of truck drivers
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 …
the crash cause large numbers of injured persons and property losses, especially when a …
Investigation of driver injury severities in rural single-vehicle crashes under rain conditions using mixed logit and latent class models
Due to limited visibility and low skid resistance on road surface, single-vehicle crashes
under rain conditions, especially those occurred in rural areas, are more likely to result in …
under rain conditions, especially those occurred in rural areas, are more likely to result in …
Analyzing the impact of curve and slope on multi-vehicle truck crash severity on mountainous freeways
H Wen, Z Ma, Z Chen, C Luo - Accident Analysis & Prevention, 2023 - Elsevier
Many studies examine the road characteristics that impact the severity of truck crash
accidents. However, some only analyze the effect of curves or slopes separately, ignoring …
accidents. However, some only analyze the effect of curves or slopes separately, ignoring …