Exploring the effects of stationary camera spots on inferences drawn from real-time crash severity models

A Abdi, S Seyedabrishami, C Llorca, AT Moreno - Scientific reports, 2022 - nature.com
This study combined crash reports, land use, real-time traffic, and weather data to form an
integrated database to analyze the severity of crashes taking place on rural highways. As …

Investigating the uniqueness of crash injury severity in freeway tunnels: A comparative study in Guizhou, China

Z Zhou, F Meng, C Song, NN Sze, Z Guo… - Journal of safety …, 2021 - Elsevier
Introduction: With the rapid development of transportation infrastructures in precipitous
areas, the mileage of freeway tunnels in China has been mounting during the past decade …

[HTML][HTML] Cross-classified multilevel models for severity of commercial motor vehicle crashes considering heterogeneity among companies and regions

HC Park, DK Kim, SY Kho, PY Park - Accident Analysis & Prevention, 2017 - Elsevier
This study analyzes 86,622 commercial motor vehicle (CMV) crashes (large truck, bus and
taxi crashes) in South Korea from 2010 to 2014. The analysis recognizes the hierarchical …

Influential factors on injury severity for drivers of light trucks and vans with machine learning methods

G Pillajo-Quijia, B Arenas-Ramírez… - Sustainability, 2020 - mdpi.com
The study of road accidents and the adoption of measures to reduce them is one of the most
important targets of the Sustainable Development Goals for 2030. To further progress in the …

Predicting road traffic accident severity using accident report data in South Africa

M Mokoatle, D Vukosi Marivate… - Proceedings of the 20th …, 2019 - dl.acm.org
Road traffic accidents (RTAs) have a significant impact on individuals, their families and the
nation. Without knowledgeable action, road traffic injuries are said to be the seventh leading …

Improving strategic policies for pedestrian safety enhancement using classification tree modeling

S Jung, X Qin, C Oh - Transportation Research Part A: Policy and Practice, 2016 - Elsevier
Pedestrian safety enhancement is a key component in reducing traffic fatalities in the
Republic of Korea. The purpose of this study was to review, validate, specify, and prioritize …

[HTML][HTML] Understanding driverless car adoption: Random parameters ordered probit model for Brisbane, Melbourne and Sydney

A Faisal, T Yigitcanlar, A Paz - Journal of Transport Geography, 2023 - Elsevier
With advanced policy and technology support, driverless cars are expected to be a reality on
Australian roads in next 5–10 years. The pace at which driverless cars emerge as a …

What contributes to driving behavior prediction at unsignalized intersections?

S Yang, W Wang, Y Jiang, J Wu, S Zhang… - … research part C: emerging …, 2019 - Elsevier
Safely passing through unsignalized intersections (USI) in urban area is challenging for
autonomous vehicles due to high uncertainties of surrounding engaged human-driven …

Analysis of factors contributing to the injury severity of overloaded-truck-related crashes on mountainous highways in China

H Wen, Y Du, Z Chen, S Zhao - International journal of environmental …, 2022 - mdpi.com
Overloaded transport can certainly improve transportation efficiency and reduce operating
costs. Nevertheless, several negative consequences are associated with this illegal activity …

Identifying the factors contributing to the severity of truck-involved crashes in Shanghai River-Crossing Tunnel

S Chen, S Zhang, Y Xing, J Lu - International journal of environmental …, 2020 - mdpi.com
The impact that trucks have on crash severity has long been a concern in crash analysis
literature. Furthermore, if a truck crash happens in a tunnel, this would result in more serious …