Now showing items 54-73 of 100

    • Identifying high-risk commercial truck drivers using a naturalistic approach 

      Soccolich, Susan A.; Hickman, Jeffrey S.; Hanowski, Richard J. (Virginia Tech. Virginia Tech Transportation Institute, 2011-06-30)
      The current report investigated the 'high-risk' driver concept, and predictors associated with group membership, in a sample of 200 CMV drivers using naturalistic data from the Drowsy Driver Warning System Field Operational ...
    • Impact of Ridesharing on Vehicle Miles Traveled 

      Du, Jianhe; Rakha, Hesham A. (National Surface Transportation Safety Center for Excellence, 2020-05-05)
      Due to the rapid development of the ridesharing industry, there is very limited data available for researchers and practitioners to draw a comprehensive conclusion regarding resultant changes in vehicle miles traveled ...
    • Improving Driving Safety for Teenagers with Attention Deficit and Hyperactivity Disorder (ADHD) 

      Klauer, Charlie; Ollendick, Thomas H.; Ankem, Gayatri; Dingus, Thomas A. (National Surface Transportation Safety Center for Excellence, 2017-09-19)
      The majority of the research assessing the differences in driving performance between medicated and non-medicated Attention Deficit Hyperactivity Disorder (ADHD) teenagers has relied on driving simulators and surveys. This ...
    • Improving Mobility for Rural Older Adults: A Program Review 

      Wotring, Brian; Antin, Jon (National Surface Transportation Safety Center for Excellence, 2020-08-07)
      The population of older adults is increasing and is expected to represent a larger proportion of the population over the next several decades. Those who live in rural areas face many transportation challenges, including a ...
    • Improving the Safety of Interactions Between Vulnerable Road Users and Automated Vehicles: A Collaborative Investigation 

      Owens, Justin M. (National Surface Transportation Safety Center for Excellence, 2021-04-28)
      This report documents a collaboration between researchers at the Pedestrian Bicycle Information Center at the University of North Carolina’s Highway Safety Research Center and the Virginia Tech Transportation Institute to ...
    • In-vehicle device acquisition and usage in personal vehicles : commercial versus non-commercial driver's license holders 

      Wotring, Brian M.; Angell, Linda; Antin, Jonathan F. (Virginia Tech. Virginia Tech Transportation Institute, 2011-03-28)
      A survey was administered to 1,524 Virginia Tech faculty, staff, and students and Blacksburg Transit drivers in an effort to differentiate between commercial driver's license holders (72 of the respondents) and "regular" ...
    • Integrating the Adaptive Lighting Database with SHRP 2 Naturalistic Driving Data 

      Li, Yingfeng; Gibbons, Ronald B.; Flintsch, Alejandra Medina (National Surface Transportation Safety Center for Excellence, 2015-09-16)
      This report details efforts to integrate the Adaptive Lighting Database (ALD) with the Second Strategic Highway Research Program (SHRP 2) Naturalistic Driving Study (NDS) and the Roadway Information Database. The ALD ...
    • Investigating Drivers’ Compensatory Behavior when Using a Mobile Device 

      Fitch, Gregory M.; Toole, Laura; Grove, Kevin; Soccolich, Susan A.; Hanowski, Richard J. (National Surface Transportation Safety Center for Excellence, 2017-01-12)
      The purpose of this study was to investigate driver performance and risk associated with mobile device use (MDU) from previously collected naturalistic driving data. There were two primary objectives: (1) to investigate ...
    • Investigating Lane Change Behaviors and Difficulties for Senior Drivers Using the SHRP 2 Naturalistic Database 

      Antin, Jonathan F.; Wotring, Brian; Perez, Miguel A.; Glaser, Daniel (National Surface Transportation Safety Center for Excellence, 2017-10-19)
      Older drivers are more likely to be involved in a lane change crash compared with middle-aged drivers. While a number of different blind spot warning systems and intervention systems exist, a more thorough understanding ...
    • Large Truck Technology Return-on-Investment Calculator: User Guide and Instruction Manual 

      Camden, Matthew C.; Medina-Flintsch, Alejandra; Hickman, Jeffrey S.; Hanowski, Richard J. (National Surface Transportation Safety Center for Excellence, 2020-04-21)
      In 2015, large trucks were involved in 415,000 crashes in the United States that resulted in approximately 116,000 injuries and 4,067 fatalities. One way to reduce these crashes and their resulting injuries and fatalities ...
    • Luminance metrics for roadway lighting 

      Meyer, Jason E.; Gibbons, Ronald B. (Virginia Tech. Virginia Tech Transportation Institute, 2011-03-25)
      The focus of the current study is the comparison of multiple contrast metrics... The images of pedestrians from a previous nighttime research study were used for analysis. The pedestrians were clothed in both denim and ...
    • Market Guide to Fleet Telematics Services: Creating a Consumer's Guide to Currently Available Aftermarket Solutions 

      Trimble, Tammy E.; Bowman, Darrell Scott (Virginia Tech. Virginia Tech Transportation Institute, 2012-12-21)
      This report documents an effort to review the currently available, aftermarket telematics solutions. The project involved: (a) a survey of the current telematics market; (b) a review of the available telematics systems; ...
    • Matching GPS Records to Digital Map Data: Algorithm Overview and Application 

      McLaughlin, Shane B.; Hankey, Jonathan M. (National Surface Transportation Safety Center for Excellence, 2015-03-03)
      Records of latitude and longitude pairs describing an approximate path of travel are logged by many types of Global Positioning System (GPS)-enabled devices. These logs of latitude/longitude (lat/lon) pairs specify geographic ...
    • Method for identifying rural, urban, and interstate driving in naturalistic driving data : final report 

      Cannon, Brad R.; McLaughlin, Shane B.; Hankey, Jonathan M. (Virginia Tech. Virginia Tech Transportation Institute, 2009-03-12)
      By employing the functionality of GIS, code was written which allows for an automated process to compare the GPS data recorded in the naturalistic driving data with geographic map data from the U.S. Census Bureau and road ...
    • Modeling 100-car safety events: a case-based approach for analyzing naturalistic driving data: final report 

      Guo, Feng; Hankey, Jonathan M. (Virginia Tech. Virginia Tech Transportation Institute, 2009-09-30)
      This study developed an integrated framework for modeling the safety outcomes of naturalistic driving studies and addressed several critical methodological issues. The results indicate a certain level of discrepancy between ...
    • Modeling Driver Intent in Potential Right Turning Scenarios 

      Gorman, Thomas (National Surface Transportation Safety Center for Excellence, 2020-04-20)
      The objective of this work was to build predictive models of driver intent at T-intersections based on vehicle speed, acceleration, brake pedal state, and speed limit data from the Second Strategic Highway Research Program. ...
    • Moth Effect: Determining Contributing Factors 

      Terry, Travis N. (National Surface Transportation Safety Center for Excellence, 2018-01-31)
      The “moth effect” theory posits that drivers are attracted to or mesmerized by light much as moths are drawn to a flame. The notion that drivers are susceptible to the moth effect is born from the fact that vehicles stopped ...
    • An On-Road Evaluation of the Impact of Explicit and Implicit Cognitive Training Protocols on Safety-Related Senior Driver Behaviors 

      Antin, Jonathan F.; Owens, Justin M.; Wotring, Brian (National Surface Transportation Safety Center for Excellence (NSTSCE), 2017-04-21)
      This study presents a long-term examination of the effects of two types of perceptual-cognitive brain training programs on senior driver behavior and on-road driving performance. Seniors over the age of 69 engaged in either ...
    • Parent Perceptions of Real-Time and Non-Video Feedback from the Driver Coach Study 

      Baker, Stephanie Ann; Klauer, Charlie; Baynes, Peter; Dingus, Thomas A. (National Surface Transportation Safety Center for Excellence, 2020-04-24)
      Motor vehicle crashes are the leading cause of death for teens. Research indicates that an effective way to improve teen safety is through the use of in-vehicle monitoring devices that provide feedback to teens and parents. ...
    • Pedestrian Visibility in Roundabouts: Naturalistic Study of Driver Eye-Glance Behavior 

      Bhagavathula, Rajaram; Williams, Brian; Gibbons, Ronald B. (National Surface Transportation Safety Center for Excellence, 2019-04-16)
      Roundabouts increase safety, but their safety effects on vulnerable road users are not as great as the safety effects for motor-vehicle drivers. Additionally, many motorists fail to yield to pedestrians at intersections ...