Introduction: This study is aimed at validating a driving simulator (DS) for the study of driver behavior in work zones. A validation study requires field data collection. For studies conducted in highway work zones, the availability of safe vantage points for data collection at critical locations can be a significant challenge. A validation framework is therefore proposed in this paper, demonstrated using a fixed-based DS that addresses the issue by using a global positioning system (GPS).
Methods: The validation of the DS was conducted using objective and subjective evaluations. The objective validation was divided into qualitative and quantitative evaluations. The DS was validated by comparing the results of simulation with the field data, which were collected using a GPS along the highway and video recordings at specific locations in a work zone. The constructed work zone scenario in the DS was subjectively evaluated with 46 participants.
Results: The objective evaluation established the absolute and relative validity of the DS. The mean speeds from the DS data showed excellent agreement with the field data. The subjective evaluation indicated realistic driving experience by the participants.
Practical Applications: The use of GPS showed that continuous data collected along the highway can overcome the challenges of unavailability of safe vantage points especially at critical locations. Further, a validated DS can be used for examining driver behavior in complex situations by replicating realistic scenarios.
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http://dx.doi.org/10.1016/j.jsr.2014.02.012 | DOI Listing |
Traffic Inj Prev
January 2025
School of Civil and Hydraulic Engineering, NingXia University, YinChuan, China.
Objective: This study aims to address the issue of driving safety on highways in the desert region of Northwest China during extreme weather conditions such as sandstorms, with the goal of reducing driver risk. It explores driver behavior under extreme conditions of sandstorms and sand accumulation, proposing safety speed recommendations and warning models for different environments to calculate the optimal warning distance in windy and sandy conditions.
Methods: Natural driving simulation experiments were conducted in windy and sandy environments, collecting driving behavior data from 45 drivers under varying visibility and road conditions with or without sand accumulation.
Traffic Inj Prev
January 2025
Department of Civil Engineering, Indian Institute of Technology, Indore, India.
Objective: The study aims to develop continuous trajectory profiles along curves with minimal error. It also focuses on formulating a percentage trajectory transection rate model as a function of geometric parameters (e.g.
View Article and Find Full Text PDFTraffic Inj Prev
January 2025
Soen Driving School, Hokkaido, Japan.
Objectives: This study aimed to validate the hazard perception task developed for Japanese drivers with brain damage.
Methods: A total of 36 professional driving instructors, 67 older adult drivers, 39 young drivers, and 72 patients with brain damage participated in the study. A video-based hazard perception task measured the hazard perception skills of each group.
Cien Saude Colet
January 2025
Colegiado de Medicina, Universidade Federal do Vale do São Francisco. Av. da Amizade s/n, Bairro Sal Torrado. 48605-780 Paulo Afonso BA Brasil.
The implementation of the Transsexualizing Process (TP) / Gender-affirming Surgeries (GAS) in the Unified Health System (SUS) was the result of social struggles by the LGBT community for sexual rights, the construction of gender identity, and bodily autonomy. The scope of this article is to analyze the advances and challenges of TP/GAS in the SUS, through a qualitative narrative literature review. In June 2022, searches were conducted in the Google Scholar, SciELO, and VHL databases to select scientific articles in Portuguese published in the last 10 years, excluding articles in foreign languages and other types of academic work such as reviews, undergraduate theses, dissertations, and/or graduate theses.
View Article and Find Full Text PDFCancer Res
January 2025
University of North Carolina at Chapel Hill, Chapel Hill, NC, United States.
Cancer genomics consortia have identified somatic drivers of breast cancer subtypes. However, these studies have predominantly included older, non-Black women, and the related socioeconomic status (SES) data is limited. Increased representation and depth of social data are crucial for understanding how health inequity is intertwined with somatic landscapes.
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