An analytic framework using deep learning for prediction of traffic accident injury severity based on contributing factors

Z Ma, G Mei, S Cuomo - Accident Analysis & Prevention, 2021 - Elsevier
Vulnerable road users (VRUs) are exposed to the highest risk in the road traffic environment.
Analyzing contributing factors that affect injury severity facilitates injury severity prediction …

Predicting intersection crash frequency using connected vehicle data: A framework for geographical random forest

Y Gu, D Liu, R Arvin, AJ Khattak, LD Han - Accident Analysis & Prevention, 2023 - Elsevier
Accurate crash frequency prediction is critical for proactive safety management. The
emerging connected vehicles technology provides us with a wealth of vehicular motion data …

Exploratory analysis of automated vehicle crashes in California: A text analytics & hierarchical Bayesian heterogeneity-based approach

AM Boggs, B Wali, AJ Khattak - Accident Analysis & Prevention, 2020 - Elsevier
Automated vehicles (AVs) represent an opportunity to reduce crash frequency by eliminating
driver error, as safety studies reveal human error contributes to the majority of crashes. To …

[HTML][HTML] A study on road accident prediction and contributing factors using explainable machine learning models: Analysis and performance

S Ahmed, MA Hossain, SK Ray, MMI Bhuiyan… - Transportation research …, 2023 - Elsevier
Road accidents are increasing worldwide and are causing millions of deaths each year.
They impose significant financial and economic expenses on society. Existing research has …

Neighborhood-level COVID-19 hospitalizations and mortality relationships with built environment, active and sedentary travel

B Wali, LD Frank - Health & place, 2021 - Elsevier
Most of the existing literature concerning the links between built environment and COVID-19
outcomes is based on aggregate spatial data averaged across entire cities or counties. We …

Safety critical event prediction through unified analysis of driver and vehicle volatilities: Application of deep learning methods

R Arvin, AJ Khattak, H Qi - Accident Analysis & Prevention, 2021 - Elsevier
Transportation safety is highly correlated with driving behavior, especially human error
playing a key role in a large portion of crashes. Modern instrumentation and computational …

Treating two pandemics for the price of one: Chronic and infectious disease impacts of the built and natural environment

LD Frank, B Wali - Sustainable cities and society, 2021 - Elsevier
Compact walkable environments with greenspace support physical activity and reduce the
risk for depression and several obesity-related chronic diseases, including diabetes and …

Comparative analysis of alternative random parameters count data models in highway safety

Q Hou, X Huo, AP Tarko, J Leng - Analytic methods in accident research, 2021 - Elsevier
Unobserved heterogeneity has been a major challenge in developing reliable road safety
models. A number of statistical techniques have been developed to account for unobserved …

Analysis of speed reductions and crash risk of aggressive drivers during emergent pre-crash scenarios at unsignalized intersections

A Adavikottu, NR Velaga - Accident Analysis & Prevention, 2023 - Elsevier
Aggressive driver behavior (ADB) is often linked with road crashes, especially during crash
imminent situations. Previous studies demonstrated that ADB was positively correlated with …

Hepatoprotective and neuroprotective effects of naringenin against lead-induced oxidative stress, inflammation, and apoptosis in rats

LAH Mansour, GE Elshopakey, FM Abdelhamid… - Biomedicines, 2023 - mdpi.com
Naringenin (NRG) is one of the most important naturally occurring flavonoids, predominantly
found in some edible fruits, such as citrus species and tomatoes. It has several biological …