An analysis of single-vehicle truck crashes on rural curved segments accounting for unobserved heterogeneity
Introduction: Medium to large truck crashes, particularly on rural curved roadways, lead to a
disproportionately higher number of fatalities and serious injuries relative to other passenger …
disproportionately higher number of fatalities and serious injuries relative to other passenger …
Applying machine learning approaches to analyze the vulnerable road-users' crashes at statewide traffic analysis zones
Introduction: In this paper, we present machine learning techniques to analyze pedestrian
and bicycle crash by developing macro-level crash prediction models. Methods: We …
and bicycle crash by developing macro-level crash prediction models. Methods: We …
Analysis of severe injuries in crashes involving large trucks using K-prototypes clustering-based GBDT model
SAS Tahfim, C Yan - Safety, 2021 - mdpi.com
The unobserved heterogeneity in traffic crash data hides certain relationships between the
contributory factors and injury severity. The literature has been limited in exploring different …
contributory factors and injury severity. The literature has been limited in exploring different …
Investigation on Hazardous Material Truck Involved Fatal Crashes Using Cluster Correspondence Analysis
M Sun, R Zhou - Sustainability, 2023 - mdpi.com
Although hazardous material (HAZMAT) truck-involved crashes are uncommon compared to
other types of traffic crashes, these crashes pose considerable threats to the public, property …
other types of traffic crashes, these crashes pose considerable threats to the public, property …
Uncovering deep structure of determinants in large truck fatal crashes
The number of fatalities and severe injuries in large truck-related crashes has significantly
increased since 2009. According to the safety experts, the recent increase in large truck …
increased since 2009. According to the safety experts, the recent increase in large truck …
[PDF][PDF] Analysis of spatial concentrations of large-truck crashes using data mining methods
SAS Tahfim, C Yan - Int. J. Saf. Security Eng, 2022 - researchgate.net
Accepted: 12 January 2022 In recent years, the number of studies on crashes involving
large-trucks has increased due to its importance to the economy and the higher chance of …
large-trucks has increased due to its importance to the economy and the higher chance of …
Applying Machine Learning Techniques to Analyze the Pedestrian and Bicycle Crashes at the Macroscopic Level
MS Rahman - 2018 - stars.library.ucf.edu
This thesis presents different data mining/machine learning techniques to analyze the
vulnerable road users'(ie, pedestrian and bicycle) crashes by developing crash prediction …
vulnerable road users'(ie, pedestrian and bicycle) crashes by developing crash prediction …
Pedestrian crash prediction and analyzing contributing factors across Texas: an interpretable machine learning approach
M Ahmed - 2021 - repositories.lib.utexas.edu
This study applied tree-based machine learning methods to investigate the contributing
factors to both crash frequency and injury severity in vehicle-pedestrian crash events …
factors to both crash frequency and injury severity in vehicle-pedestrian crash events …
The Safety Impact of Raising Trucks' Speed Limit on Rural Freeways in Ohio
NH Ouedraogo - 2019 - rave.ohiolink.edu
Large trucks play a key role in the overall safety of the highway transportation system.
Previous studies have shown that in Ohio large trucks are over-represented in crashes that …
Previous studies have shown that in Ohio large trucks are over-represented in crashes that …