Now showing items 1-14 of 14

    • Exploring the Science of Retroreflectivity: Curriculum for Grades 4 through 6 

      Finley, Melisa D.; Hanover, Stephanie; Chrysler, Susan T. (Safe-D: Safety Through Disruption, 2018-10)
      According to the United States Department of Commerce, careers in science, technology, engineering, and mathematics (STEM) are growing faster than occupations in other areas. However, in-class academic concepts can seem ...
    • Safety Perceptions of Transportation Network Companies (TNCs) by the Blind and Visually Impaired 

      Simek, Christopher L.; Higgins, Laura L.; Sener, Ipek Nese; Moran, Maarit M.; Geiselbrecht, TIna S.; Hansen, Todd W.; Walk, Michael J.; Ettelman, Ben L.; Plunkett, Michelle (Safe-D: Safety Through Disruption, 2018-10)
      For individuals that are visually impaired, access to safe and reliable transportation can be a significant challenge. The limited menu of mobility options can culminate in a reduced quality of life and more difficulty ...
    • Sources and Mitigation of Bias in Big Data for Transportation Safety 

      Griffin, Greg P.; Mulhall, Meg; Simek, Christopher L. (Safe-D: Safety Through Disruption, 2018-11)
      Emerging big data resources and practices provide opportunities to improve transportation safety planning and outcomes. However, researchers and practitioners recognize that big data includes biases in who the data represents ...
    • Street Noise Relationship to Bicycling Road User Safety 

      Griffin, Greg P.; Hankey, Steve; Simek, Christopher L.; Le, Huyen; Buehler, Ralph (Safe-D: Safety Through Disruption, 2018-12)
      Vulnerable road users, such as bicyclists, experience road noise directly. This study explored the relationship between bicycle crash risk and street-level road noise as measured in Austin, Texas and the Washington, D.C. ...
    • Vehicle Operating Speed on Urban Arterial Roadways 

      Fitzpatrick, Kay; Das, Subasish (Safe-D: Safety Through Disruption, 2019-01)
      This research explored (1) the relationship between suburban vehicle operating speed and roadway characteristics,especially the presence of bicyclists and (2) whether crowdsourced speed data could be used to estimate ...
    • Behavior-based Predictive Safety Analytics – Pilot Study 

      Engström, Johan; Miller, Andrew; Huang, Wenyan; Soccolich, Susan; Machiani, Sahar Ghanipoor; Jahangiri, Arash; Dreger, Felix; de Winter, Joost (Safe-D: Safety Through Disruption, 2019-04)
      This report gives an overview of the main findings from the Behavior-based Predictive Safety Analytics – Pilot Study project. The main objective of the project was to investigate the possibilities of developing statistical ...
    • Older Drivers and Transportation Network Companies: Investigating Opportunities for Increased Safety and Improved Mobility 

      Tooley, Melissa; Zmud, Johanna; Ettelman, Benjamin; Moran, Maarit; Higgins, Laura; Shortz, Ashley; Wheeler, Eric (Safe-D: Safety Through Disruption, 2019-06)
      Transportation network companies (TNCs) such as Uber and Lyft offer an increasingly popular alternative to driving a personal vehicle. This project investigated the potential of TNCs to increase the safety and enhance the ...
    • Driver Training Research and Guidelines for Automated Vehicle Technology 

      Manser, Michael P.; Noble, Alexandria M.; Machiani, Sahar Ghanipoor; Shortz, Ashley; Klauer, Sheila G.; Higgins, Laura; Ahmadi, Alidad (Safe-D: Safety Through Disruption, 2019-07)
      The advent of advanced driver-assistance systems presents the opportunity to significantly improve transportation safety. Complex sensor-based systems within vehicles can take responsibility for tasks typically performed ...
    • Motorcycle Crash Data Analysis to Support Development of a Retrofit Concrete Barrier System for Freeway Ramps 

      Wilson, Jonathan; Sulaica, Heather; Dobrovolny, Chiara Silvestri; Perez, Marcie (Safe-D: Safety Through Disruption, 2019-07)
      This project was intended to review the most relevant national and international studies, as well as protocols and standards that were developed to support motorcycle safety on roadways. In addition, crash data analysis ...
    • Analyzing Highway Safety Datasets: Simplifying Statistical Analyses from Sparse to Big Data 

      Lord, Dominique; Geedipally, Srinivas Reddy; Guo, Feng; Jahangiri, Arash; Shirazi, Mohammadali; Mao, Huiying; Deng, Xinwei (Safe-D: Safety Through Disruption, 2019-07)
      Data used for safety analyses have characteristics that are not found in other disciplines. In this research, we examine three characteristics that can negatively influence the outcome of these safety analyses: (1) crash ...
    • Examining Senior Drivers Adaptation to Mixed Level Automated Vehicles: A Naturalistic Study 

      Liang, Dan; Antin, Jonathan F.; Lau, Nathan K.; Stulce, Kelly E.; Baker, Stephanie A.; Wotring, Brian (Safe-D: Safety Through Disruption, 2019-08)
      Advances in the development of advanced vehicle technologies (AVTs), such as blind spot alerts, lane keep assist,lane alert, and adaptive cruise control, can benefit senior drivers by reducing exposure to hazards andcompensating ...
    • Emerging Legal Issues for Transportation Researchers Using Passively Collected Data Sets 

      Stoeltje, Gretchen; Moran, Maarit; Zmud, Johanna; Ramsey, Nijm; Stibbe, Jayson (Safe-D: Safety Through Disruption, 2019-08)
      With the advent of new technologies to gather and process data, large data sets are being collected that are of interest to transportation researchers. However, legal and ethical questions around data ownership and protection ...
    • Design and Evaluation of a Connected Work Zone Hazard Detection and Communication System for Connected and Automated Vehicles (CAVs) 

      Mollenhauer, Michael; White, Elizabeth; Roofigari-Esfahan, Nazila (Safe-D: Safety Through Disruption, 2019-08)
      Roadside work zones (WZs) present imminent safety hazards for roadway workers as well as passing motorists. In 2016, 764 fatalities occurred in WZs in the United States due to motor vehicle traffic crashes, which are the ...
    • Factors Surrounding Child Seat Usage in Rideshare Services 

      Owens, Justin M.; Womack, Katie N.; Barowski, Laura (Safe-D: Safety Through Disruption, 2019-09)
      This project represents a collaborative, multimodal effort to understand the current state of child passenger safety with respect to rideshare vehicles, with the aim of using this information to develop an effective set ...