Publications by authors named "Parisa Hosseini"

Article Synopsis
  • Single-vehicle crashes, particularly those caused by speeding, lead to more fatalities and serious injuries than other crash types, making it essential to study their causes.
  • The research utilizes data from the National Highway Traffic Safety Administration between 2016 and 2018 and employs machine learning models like XGBoost and Random Forest, along with a mixed logit model, to analyze factors influencing driver injury severity.
  • Key factors identified include driver demographics, reckless driving, restraint usage, roadway characteristics, environmental conditions, vehicle types, crash scenarios, and specific time periods, highlighting the need for better driving behavior and roadway design to reduce speeding and related injuries.
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Introduction: Breast cancer is a prevalent and significant contributor to cancer-related mortality among women worldwide. Its increasing incidence, especially in regions like North-West Iran, necessitates a deeper understanding of genetic factors contributing to its development. Genetic alterations, particularly single nucleotide polymorphisms (SNPs), are implicated in breast cancer susceptibility, making investigation in this context crucial.

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In recent years, identifying road users' behavior and conflicts at intersections have become an essential data source for evaluating traffic safety. According to the Federal Highway Administration (FHWA), in 2020, more than 50% of fatal and injury crashes occurred at or near intersections, necessitating further investigation. This study developed an innovative artificial intelligence (AI)-based video analytic tool to assess intersection safety using surrogate safety measures and non-compliance behavior.

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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 vehicles over time. The intent of this study is to identify and quantify the factors affecting injury severity outcomes for single-vehicle truck crashes on rural curved segments in North Carolina. The crash data were extracted from the Highway Safety Information System (HSIS) from 2010 to 2017.

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