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    Assessing Alternate Approaches for Conveying Automated Vehicle ‘Intentions’ 

    Basantis, Alexis; Miller, Marty; Doerzaph, Zachary R.; Neurauter, Luke (SAFE-D: Safety Through Disruption National UTC, 2020-05)
    One of the biggest highly automated vehicle (HAV) market barriers may be a lack of user trust in the automated driving system itself. Research has shown that this lack of faith in the system primarily stems from a lack of ...
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    Reducing School Bus/Light-Vehicle Conflicts Through Connected Vehicle Communications 

    Palframan, Kelly Donoghue; Alden, Andrew S. (Connected Vehicle/Infrastructure University Transportation Center (CVI-UTC), 2016-08-15)
    This project aimed to develop and test a concept for improving the safety of school bus transportation using connected vehicle technology. The project consisted of three key steps that led to a final road study: 1) conducting ...
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    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 ...
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    Response of Autonomous Vehicles to Emergency Response Vehicles (RAVEV) 

    Nayak, Abhishek; Rathinam, Sivakumar; Gopalswamy, Swaminathan (SAFE-D: Safety Through Disruption National UTC, 2020-06)
    The objective of this project was to explore how an autonomous vehicle identifies and safely responds to emergency vehicles using visual and other onboard sensors. Emergency vehicles can include police, fire, hospital and ...
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    Big Data Visualization and Spatiotemporal Modeling of Risky Driving 

    Jahangiri, Arash; Marks, Charles; Machiani, Sahar Ghanipoor; Nara, Atsushi; Hasani, Mahdie; Cordova, Eduardo; Tsou, Ming-Hsiang; Starner, Joshua (SAFE-D: Safety Through Disruption National UTC, 2020-07)
    Statistical evidence shows the role of risky driving as a contributing factor in roadway collisions, highlighting the importance of identifying such driving behavior. With the advent of new technologies, vehicle kinematic ...
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    Alcohol Intoxication Checklist: A Naturalistic Approach 

    Wotring, Brian; Antin, Jonathan F.; Smith, Ryan C. (National Surface Transportation Safety Center for Excellence, 2021-07-16)
    This effort sought to determine the prevalence of particular visual and behavioral indicators for alcohol intoxication using data collected in the Strategic Highway Research Program 2 Naturalistic Driving Study (SHRP 2 ...
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    The Assessment of Alternative Overhead Sign Lighting 

    Williams, Brian M.; Gibbons, Ronald B. (National Surface Transportation Safety Center for Excellence, 2020-07-22)
    This report evaluates an alternative method for lighting highway signs that takes advantage of their retroreflective properties. This method uses a single luminaire mounted some distance upstream of the sign, with a focused, ...
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    Active and Adaptive Roadway Delineation Systems 

    Williams, Brian M.; Gibbons, Ronald B.; Flintsch, Alejandra Medina (National Surface Transportation Safety Center for Excellence, 2017-10-13)
    Heavy fog presents a significant safety hazard to drivers by reducing their ability to see the roadway and other vehicles. Even so, drivers often fail to adjust their speed to account for the reduced visibility, resulting ...
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    Preventing Crashes in Mixed Traffic with Automated and Human-Driven Vehicles 

    Talebpour, Alireza; Lord, Dominique; Manser, Michael P.; Machiani, Sahar Ghanipoor (SAFE-D: Safety Through Disruption National University Transportation Center, 2020-11)
    Reducing crash counts on saturated road networks is one of the most significant benefits of autonomous vehicle (AV) technology. To date, many researchers have studied how AVs maneuver in different traffic situations, but ...
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    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 ...
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    Content TypeReport (46)Technical report (1)Subject
    transportation safety (47)
    commercial motor vehicles (CMVs) (7)crash risk (5)naturalistic driving study (4)automated vehicles (3)... View MoreDate Issued2020 - 2022 (29)2010 - 2019 (17)2007 - 2009 (1)AuthorGibbons, Ronald B. (11)Hickman, Jeffrey Scott (10)Hanowski, Richard J. (8)Soccolich, Susan A. (7)Williams, Brian M. (6)... View MoreHas File(s)
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    If you believe that any material in VTechWorks should be removed, please see our policy and procedure for Requesting that Material be Amended or Removed. All takedown requests will be promptly acknowledged and investigated.

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