Recent Submissions

  • In-Depth Examination of E-Scooter Safety: A Case Study of Austin, Texas 

    Sener, Ipek N.; Koirala, Pranik (Safe-D National UTC, 2023-08)
    While gaining widespread popularity in cities worldwide, electric scooters (e-scooters) have also raised significant safety and other concerns since their emergence in the United States in late 2017. This study addressed ...
  • Exploring the Science of Reflectivity: Curriculum for Grades 4 through 6 

    Finley, Melisa D.; Hanover, Stephanie; Chrysler, Susan T. (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 ...
  • Multi-Incident Response Vehicle 

    Vaughan, Elijah W.; Wiens, John; English, Michael; Frye, Jacob (Safe-D National UTC, 2023-07)
    The Virginia Tech Transportation Institute (VTTI) project team led a collaborative effort with Neaera Consulting Group to develop and integrate a Multi-Incident Response Vehicle (MIRV) into the Safely Operating Automated ...
  • Technology to Ensure Equitable Access to Automated Vehicles for Rural Areas 

    Ninan, Stephen; Rathinam, Sivakumar (Safe-D National UTC, 2023-08)
    A significant majority of state-of-the-art autonomous sensing and navigation technologies rely on good lane markings or detailed 3D maps of the environment, making them more suited for urban communities. Conversely, many ...
  • Cooperative Perception of Connected Vehicles for Safety 

    Eskandarian, Azim; Ghorai, Prasenjit; Nayak, Anshul (Safe-D National UTC, 2023-04)
    In cooperative perception, reliably detecting surrounding objects and communicating the information between vehicles is necessary for safety. However, vehicle-to-vehicle transmission of huge datasets or images can be ...
  • Behavior-Based Predictive Safety Analytics Phase II 

    MIller, Andrew; Sarkar, Abhijit; McDonald, Tony; Ghanipoor-Machiani, Sahar; Jahangiri, Arash (Safe-D National UTC, 2023-06)
    This project addressed the emerging field of behavior-based predictive safety analytics, focusing on the prediction of road crash involvement based on individual driver behavior characteristics. This has a range of ...
  • Human Factors of Driving Automation: Evasive Maneuver Event Response Evaluation 

    Britten, Nicholas; Hankey, Jonathan M. (Safe-D National UTC, 2023-03)
    An increasing number of conditionally automated driving (CAD) systems are being developed by major automotive manufacturers. In a CAD system, the automated system is in control of the vehicle within its operational design ...
  • Analysis of Advanced Driver-Assistance Systems in Police Vehicles 

    Zahabi, Maryam; Shahini, Farzaneh; Nas, Vanessa; Wozniak, David (Safe-D National UTC, 2023-07)
    Motor vehicle crashes are the leading cause of death for police officers. Advanced driver assistance systems (ADAS) have the potential to improve officer safety by removing some of the driver’s vehicle control responsibilities. ...
  • E-Scooter Design: Safety Measures for Next Gen Scooter 

    Novotny, Adam; Mollenhauer, Mike; White, Elizabeth (Safe-D National UTC, 2023-05)
    Over the recent years, e-scooters have become an increasingly popular and convenient micromobility solution for short-distance trips for a wide demographic of users. Due to their accessibility, knowledge regarding proper ...
  • Sensor Degradation Detection Algorithm for Automated Driving Systems 

    Darab, Jonathan M.; Witcher, Christina J. (Safe-D National UTC, 2023-03)
    The project developed a sensor degradation detection algorithm for Automated Driving Systems (ADS). Weather, cyberattacks, and sensor malfunction can degrade sensor information, resulting in significant safety issues, such ...
  • Private 5G Technology and Implementation Testing 

    Vilela, Jean Paul Talledo; Mollenhauer, Michael A.; White, Elizabeth E.; Miller, Marty (Safe-D National UTC, 2023-03)
    NEC developed a Video Analytics implementation for traffic intersections using 5G technology. This implementation included both hardware infrastructure and software applications supporting 5G communications, which allows ...
  • A Data Driven Approach to the Development and Evaluation of Acoustic Electric Vehicle Alerting Systems for Vision Impaired Pedestrians 

    Roan, Michael J.; Beard, Michael; Neurauter, Luke; Miller, Marty (Safe-D National UTC, 2023-02)
    The number of electric vehicles on the road increases exponentially every year. Due to the quieter nature of these vehicles when operating at low speeds, there is significant concern that pedestrians and bicyclists will ...
  • Smart Work Zone System 

    Talledo Vilela, John Paul; Mollenhauer, Michael A.; White, Elizabeth E.; Vaughan, Elijah W.; Burdisso, Daniel (Safe-D National UTC, 2022-10)
    In the previous Safe-D project 04-104, a prototype wearable Personal Protective Equipment vest that accurately localizes, monitors, and predicts potential collisions between work zone (WZ) workers and passing motorists was ...
  • A Holistic Work Zone Safety Alert System through Automated Video and Smartphone Sensor Data Analysis 

    Akhavian, Reza; Jahangiri, Arash; Shahnavaz, Farid; Salehipour, Sina (Safe-D National UTC, 2022-12-16)
    This project was inspired by a major gap identified in the literature pertaining to work zone safety monitoring systems that leverage advanced technologies for tracking workers, identifying hazardous situations, and alerting ...
  • Lane Change Hazard Analysis Using Radar Traces to Identify Conflicts and Time-To-Collision Measures 

    Guduri, Balachandar; Llaneras, Robert E. (Safe-D National UTC, 2023-01-30)
    This project analyzed existing data and assessed the safety equivalency of prototype video-based camera systems to support Federal Motor Vehicle Safety Standard 111 rulemaking efforts and investigate camera-based side view ...
  • Evaluation Tools for Low-Speed Automated Vehicle (LSAV) Transit Readiness of the Area 

    Hong, Yubin; Klauer, Charlie; Mollenhauer, Michael A.; Talledo Vilela, Jean Paul; Goodall, Noah; Fontaine, Michael D. (Safe-D National UTC, 2022-11-22)
    Automated shuttles are small, low-speed (generally less than 25 mph) vehicles that do not require a human operator, though to date all have included an onboard human attendant. This project aims to assess the limitations ...
  • Connected Vehicle Information for Improving Safety Related to Unknown or Inadequate Truck Parking 

    Katsikides, Nicole; Gick, Brittney N.; Parab, Smruti; Hwang, William "Billy"; Lee, Dahye; Montes de Oca, Jose Rivera; Farzaneh, Reza; Kong, Xiaoqiang "Jack"; Srisan, Tat; Bell, Stephen; Alden, Andy S.; Warner, Jeff; Schrank, David (Safe-D National UTC, 2022-10)
    Safety issues due to commercial truck parking shortages are a national concern. National hours-of-service (HOS) regulations limit drivers’ time on the road to increase safety by limiting fatigue. This requires drivers to ...
  • Introduction to Communications in Transportation 

    Mollenhauer, Michael A.; Robinson, Sarah; Vilela, Jean Paul Talledo; Vaughn, Will (Safe-D National UTC, 2022-10)
    As new Intelligent Transportation Systems (ITS) and vehicle-to-everything (V2X) communication technology and protocols continue to emerge, additional training is needed for personnel working in the transportation sector. ...
  • Curb Management Practices and Effectiveness in Improving Safety 

    Hansen, Todd; Elgart, Zachary; Bell, Stephen; Hu, Zhiheng; Wood, Nick; Alden, Andy (Safe-D National UTC, 2022-11)
    Curbside access has been a growing concern in cities over the last decade as on-demand passenger or goods transportation services have proliferated. Increased activity at key loading and unloading points may increase the ...
  • Autonomous Delivery Vehicle as a Disruptive Technology: How to Shape the Future with a Focus on Safety? 

    Das, Subasish; Tsapakis, Ioannis; Wei, Zihang; Elgart, Zachary; Kutela, Boniphace; Vierkant, Valerie; Li, Eric (SAFE-D: Safety Through Disruption National University Transportation Center, 2022-09)
    The National Highway Traffic Safety Administration recently granted permission to deploy low-speed autonomous delivery vehicles (ADVs) on roadways. Although the mobility of ADVs is limited to low-speed roads and these ...

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