Now showing items 35-54 of 97

    • Effective Strategies to Improve Safety: Case Studies of Commercial Motor Carrier Safety Advancement 

      Camden, Matthew C.; Hickman, Jeffrey Scott; Hanowski, Richard J. (National Surface Transportation Safety Center for Excellence, 2019-04-30)
      Although previous research has documented safety improvement strategies, many carriers may not have real-world data and/or information on the strategies that other carriers have successfully used to improve safety. This ...
    • Effective Use of Commercially Available Onboard Safety Monitoring Technologies: Guidance for Commercial Motor Vehicle Carriers 

      Camden, Matthew C.; Hickman, Jeffrey S.; Hanowski, Richard J. (National Surface Transportation Safety Center for Excellence, 2015-03-03)
      Studies show that most commercial motor vehicle (CMV) crashes involve risky driving behaviors or errors on the part of the driver and thus are preventable. One method to reduce risky driving behaviors is through the use ...
    • Enhanced Camera 

      White, Elizabeth; Chilcott, Dan; Doerzaph, Zachary R. (National Surface Transportation Safety Center for Excellence, 2016-08-09)
      This report describes testing equipment and procedures developed by the Center for Technology Development at the Virginia Tech Transportation Institute (VTTI) to evaluate critical attributes for cameras used in naturalistic ...
    • Evaluating the Influence of Crashes on Driving Behavior using Naturalistic Driving Study Data 

      Guo, Feng; Chen, Chen (National Surface Transportation Safety Center for Excellence, 2015-07-16)
      It is hypothesized that intense events such as crashes could influence driver behavior and driving risk. This study evaluated the influences of crash events on driver behavior and driving risk using data from the 100-Car ...
    • Evaluating the Sleeper Berth Provision: Investigating Usage Characteristics and Safety-Critical Event Involvement 

      Soccolich, Susan A.; Blanco, Myra; Hanowski, Richard J. (National Surface Transportation Safety Center for Excellence (NSTSCE), 2015-07-20)
      Hours-of-service (HOS) regulations control the maximum daily drive time, workday hours, and work week (period) hours for commercial motor vehicle (CMV) drivers. The regulations also include periods of off-duty time that ...
    • Evaluation of an In-vehicle Monitoring System Among an Oil and Gas Well Servicing Fleet 

      Krum, Andrew; Miller, Andrew; Soccolich, Susan (National Surface Transportation Safety Center for Excellence, 2020-05-01)
      A pilot study of an in-vehicle monitoring system (IVMS) was conducted among a fleet of oil and gas well servicing vehicles. Data collected from the fleet were handled anonymously across 21 IVMS-instrumented light vehicle ...
    • Evaluation of Light-Vehicle Driver Education Programs Targeting Sharing the Road with Heavy Vehicles: A Case Study Analysis 

      Baker, Stephanie Ann; Schaudt, William A.; Joslin, Spencer; Tidwell, Scott; Bowman, Darrell Scott
      The purpose of this case study project sponsored by the National Surface Transportation Safety Center for Excellence (NSTSCE) was twofold. First, researchers investigated current light-vehicle driver education programs ...
    • Evaluation of Older Driver Fitness-to-Drive Metrics and Driving Risk Using Naturalistic Driving Study Data 

      Guo, Feng; Fang, Youjia; Antin, Jonathan F. (National Surface Transportation Safety Center for Excellence, 2015-07-28)
      In this study, we evaluated the relationship between older drivers’ fitness assessment profiles and their driving risk, represented primarily by crash and near-crash (CNC) rate, and secondarily by high g-force (HGF) event ...
    • Examining the Relationship Between CMV Driver Retention and Safety 

      Camden, Matthew C.; Soccolich, Susan A.; Hickman, Jeffrey S.; Walker, Martin; Hanowski, Richard J. (National Surface Transportation Safety Center for Excellence, 2020-08-13)
      Many segments in the trucking industry experience extremely high rates of driver turnover. Although some research has shown a link between high driver turnover and increased crash risk, it is not known if voluntary turnover ...
    • An Exploration of Driver Behavior During Turns at Intersections (for Drivers in Different Age Groups) 

      Angell, Linda; Aitch, Sudipto; Antin, Jonathan F.; Wotring, Brian (2015-06-23)
      A two-phase study of driver behavior at intersections was conducted using a naturalistic paradigm. In Phase 1, the behavior of teen, middle-aged, and older drivers was compared for left turns at three types of left turns ...
    • Fact Sheets 

      Tidwell, Scott; Fitchett, Vikki L.; Blanco, Myra (National Surface Transportation Safety Center for Excellence, 2017-12-06)
      To extend its public outreach, the National Surface Transportation Safety Center for Excellence has created concise fact sheets describing research findings important to surface transportation safety. To date, fact sheets ...
    • Fatigue analyses: from 16 months of naturalistic commercial motor vehicle driving data 

      Wiegand, Douglas M.; Hanowski, Richard J.; Olson, Rebecca L. (Rebecca Lynn); Melvin, Whitney (Virginia Tech. Virginia Tech Transportation Institute, 2008-05-31)
      Under the sponsorship of the National Surface Transportation Safety Center for Excellence, an existing naturalistic data set from the Drowsy Driver Warning System Field Operational Test (DDWS FOT) was expanded and analyzed ...
    • Fatigue and Distraction in Occupational Light Vehicle Drivers 

      Soccolich, Susan A.; Hickman, Jeffrey Scott; Hanowski, Richard J. (National Surface Transportation Safety Center for Excellence, 2017-10-25)
      Occupational drivers are a unique subset of the driving population, as driving per se is not their primary job duty, but can nonetheless encompass a large portion of their working day. These occupational drivers make sales ...
    • Geospatial analysis of high-crash intersections and rural roads using naturalistic driving data : final report 

      Cannon, Brad R.; Sudweeks, Jeremy D. (Virginia Tech. Virginia Tech Transportation Institute, 2011-09-26)
      Despite the fact that overall road safety continues to improve, intersections and rural roads persist as trouble areas or hotspots. Using a previously developed method, naturalistic driving data were identified through ...
    • Heavy-Vehicle Safety Outreach 

      National Surface Transportation Safety Center for Excellence (2014-04-09)
      The objective of the Heavy-Vehicle Safety Outreach project was to develop and implement a pragmatic curriculum to support the needs of safety managers. Safety managers for motor carrier fleets serve as the point of ...
    • Identification of Cognitive Load in Naturalistic Driving 

      Angell, Linda; Perez, Miguel A.; Soccolich, Susan A. (National Surface Transportation Safety Center for Excellence, 2015-07-28)
      Over the last decade, naturalistic driving studies have provided significant insight into issues pertaining to the roles of distraction, inattention, and drowsiness in crash risk. New techniques have been developed for ...
    • Identification of factors related to violation propensity: mining the data of the Franklin intersections 

      Doerzaph, Zachary R.; Bhagavathula, Rajaram (Virginia Tech. Virginia Tech Transportation Institute, 2011-02-04)
      This report describes an investigation of factors related to the prevalence of red-light violations at signalized intersections. A sample of 3,000 violators were compared to a matched set of compliant vehicle approaches ...
    • Identifying Distraction: Kinematic Detection of Off-Road Eye Glances 

      Rainey, Cameron; McLaughlin, Shane B. (National Surface Transportation Safety Center for Excellence, 2015-10-08)
      Visual attention is a key component of the driving task. Identifying times when the driver is not looking toward the forward views has been shown to be a successful indicator of distracted driving (Olson, Hanowski, Hickman, ...
    • 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 (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 ...