Machine learning approach for flight departure delay prediction and analysis

E Esmaeilzadeh… - Transportation Research …, 2020 - journals.sagepub.com
The expected growth in air travel demand and the positive correlation with the economic
factors highlight the significant contribution of the aviation community to the US economy. On …

Assessment of tire failure related crashes and injury severity on a mountainous freeway: Bayesian binary logit approach

MT Haq, M Zlatkovic, K Ksaibati - Accident Analysis & Prevention, 2020 - Elsevier
Although tires maintain the only contact between the vehicle and the ground, tire failures are
still underrepresented in traffic safety assessments. Vehicle stability and safety can …

Weekly variations and temporal instability of determinants influencing alcohol-impaired driving crashes: A random thresholds random parameters hierarchical ordered …

X Yan, J He, G Wu, C Zhang, Z Liu, C Wang - Analytic methods in accident …, 2021 - Elsevier
Alcohol consumption has been acknowledged as a critical determinant concerning the
occurrence of vehicle crashes and their resulting injury severities. To investigate the weekly …

Driver injury severity outcome analysis in rural interstate highway crashes: a two-level Bayesian logistic regression interpretation

C Chen, G Zhang, XC Liu, Y Ci, H Huang, J Ma… - Accident Analysis & …, 2016 - Elsevier
There is a high potential of severe injury outcomes in traffic crashes on rural interstate
highways due to the significant amount of high speed traffic on these corridors. Hierarchical …

Identification of significant factors in fatal-injury highway crashes using genetic algorithm and neural network

Y Li, D Ma, M Zhu, Z Zeng, Y Wang - Accident Analysis & Prevention, 2018 - Elsevier
Identification of the significant factors of traffic crashes has been a primary concern of the
transportation safety research community for many years. A fatal-injury crash is a …

Combined latent class and partial proportional odds model approach to exploring the heterogeneities in truck-involved severities at cross and T-intersections

L Song, W Fan - Accident Analysis & Prevention, 2020 - Elsevier
Although the fatal rate of passenger vehicle-involved crashes has decreased in the United
States, the fatal rate of truck-involved crashes has increased. This has, in recent years …

[HTML][HTML] Development of a binary classification model to assess safety in transportation systems using GMDH-type neural network algorithm

G Guido, SS Haghshenas, SS Haghshenas, A Vitale… - Sustainability, 2020 - mdpi.com
Evaluating road safety is an enduring research topic in Infrastructure and Transportation
Engineering. The prediction of crash risk is very important for avoiding other crashes and …

[HTML][HTML] A machine learning approach for classifying road accident hotspots

BSP Amorim, AA Firmino, CS Baptista… - … International Journal of …, 2023 - mdpi.com
Road accidents are a worldwide problem, affecting millions of people annually. One way to
reduce such accidents is to predict risk areas and alert drivers. Advanced research has been …

[HTML][HTML] Application of machine learning models and SHAP to examine crashes involving young drivers in New Jersey

AS Hasan, M Jalayer, S Das, MAB Kabir - International journal of …, 2023 - Elsevier
Motor vehicle crashes are the leading cause of the death of teenagers in the United States.
Young drivers have shown their higher propensity to get involved in crashes due to using a …

[PDF][PDF] A time of day analysis of pedestrian-involved crashes in California: Investigation of injury severity, a logistic regression and machine learning approach using …

S Mokhtarimousavi - Institute of Transportation Engineers. ITE Journal, 2019 - hsisinfo.org
First place winning paper of the Federal Highway Administration's (FHWA) 2019 Excellence
in Highway Safety Data Award, which is designed to encourage university students to use …