Modeling Truck Safety Critical Events: Efficient Bayesian Hierarchical Statistical and Reliability Models

M Cai - 2020 - search.proquest.com
Background: Large trucks are the primary concern of traffic safety since they are associated
with more catastrophic accidents. Since real crashes are very rare, a growing number of …

The association between crashes and safety-critical events: Synthesized evidence from crash reports and naturalistic driving data among commercial truck drivers

M Cai, MAA Yazdi, A Mehdizadeh, Q Hu, A Vinel… - … research part C …, 2021 - Elsevier
The past decade has witnessed continuous growth of naturalistic driving studies (NDSs).
When analysing NDS data, safety-critical events (SCEs) are commonly used as surrogates …

Comparison of contributory causes of fatal truck and non-truck crashes using Bayesian statistical analysis

N Bezwada, S Dissanayake - Transportation and Development …, 2011 - ascelibrary.org
Of the 41,059 motor vehicle fatalities in 2007, 12% or 4,808 died in crashes that involved a
large truck, but, only 17% of those fatalities were occupants of large trucks. Although large …

Analysis of large truck crash severity using heteroskedastic ordered probit models

JD Lemp, KM Kockelman, A Unnikrishnan - Accident Analysis & Prevention, 2011 - Elsevier
Long-combination vehicles (LCVs) have significant potential to increase economic
productivity for shippers and carriers by decreasing the number of truck trips, thus reducing …

Predicting unsafe driving risk among commercial truck drivers using machine learning: lessons learned from the surveillance of 20 million driving miles

A Mehdizadeh, MAA Yazdi, M Cai, Q Hu, A Vinel… - Accident Analysis & …, 2021 - Elsevier
The emergence of sensor-based Internet of Things (IoT) monitoring technologies have
paved the way for conducting large-scale naturalistic driving studies, where continuous …

Modeling of Crash Risk for Realistic Artificial Data Generation: Application to Naturalistic Driving Study Data

L Hoover - 2021 - stars.library.ucf.edu
Most safety performance analysis employs cross-sectional and time-series datasets, posing
an important challenge to safety performance and crash modification analysis. The …

A synthetic approach to compare the large truck crash causation study and naturalistic driving data

JS Hickman, RJ Hanowski, J Bocanegra - Accident Analysis & Prevention, 2018 - Elsevier
Truck crashes represent a significant problem on our nation's highways. There is a great
opportunity to learn about crash causation by analyzing and comparing the Large Truck …

Modeling the severity level of truck crashes using binary logistic regression method

SS NaserAlavi, N Nadimi, SAM Hosseini - Journal of Transportation …, 2024 - trijournal.ir
It is one of the main priorities of safety researchers to reduce the severity of crashes by
predicting the severity of crash damage. Large trucks pose safety concerns and are …

[图书][B] Methods for analysis of naturalistic driving data in driver behavior research

J Bärgman - 2016 - search.proquest.com
In the last several years, the focus of traffic safety research—especially when performed in
association with the automotive industry—has shifted from preventing injury during a crash …

Occupant injury severity in passenger car-truck collisions on interstate 80 in Wyoming: a Hamiltonian Monte Carlo Markov Chain Bayesian inference approach

MT Haq, M Zlatkovic, K Ksaibati - Journal of Transportation Safety & …, 2022 - Taylor & Francis
This paper investigates the significant contributing factors affecting the injury severity of car
drivers, car passengers, and truck occupants from the aspects of car-truck collisions along …