1 to 10 of 216 Results
Feb 28, 2024 - CONOPS
Krum, Andrew; Hanowski, Richard; Hammond, Rebecca; Hickman, Jeffrey; Walker, Martin, 2022, "Trucking Fleet Concept of Operations (CONOPS) for Managing Mixed Fleets", https://doi.org/10.15787/VTT1/ZYMSEM, VTTI, V7
Project Description: The CONOPS is a living, comprehensive document that describes the ADS characteristics from the viewpoint of the truck fleets that will use ADS technology. the CONOPS includes eight key sections: 1) Installation and Maintenance Guide for Fleets, 2) Inspection... |
Jan 31, 2024 - Safe-D UTC
Sarkar, Abhijit; Papakis, Ioannis; Herbers, Eillen; Viray, Reginald, 2024, "Development of an Infrastructure Based Data Acquisition System (iDAS) to Naturalistically Collect the Roadway Environment (04-121)", https://doi.org/10.15787/VTT1/FN5TWT, VTTI, V1
Project Description: Automatic traffic monitoring is becoming an important investment for transportation specialists, especially as the overall volume of traffic continues to increase, as do crashes at intersections. Infrastructure cameras can be a good source of information for... |
Jan 30, 2024 - Safe-D UTC
Miller, Marty, 2024, "Investigating and Developing Methods for Traditional Participant-based Data Collection with Remote Experimenters (05-097)", https://doi.org/10.15787/VTT1/HEDSB6, VTTI, V1
Project Description: This project focused on developing tools for performing in-vehicle experiments remotely, i.e. without a researcher in the vehicle with participants. Data Scope: The data uploaded consists of a set of NodeJS and Python tools to simulate and visualize vehicle s... |
Jan 25, 2024 - Safe-D UTC
Terranova, Paolo; Perez, Miguel, 2023, "Characterizing Level 2 Automation in a Naturalistic Driving Fleet (VTTI-00-024)", https://doi.org/10.15787/VTT1/42MUF1, VTTI, V2, UNF:6:kSozA0lDwXTeOARy9aEHuQ== [fileUNF]
Project Description: The introduction of automation features into the vehicle fleet is disrupting the way vehicles operate. Likewise, the introduction of more vehicles with automated features of increasing ability into the fleet can potentially affect what drivers do when the fea... |
Jan 19, 2024 - Safe-D UTC
Jahangiri, Arash; Paolini, Chris; Salehipour, Sina; Bergcollins, Django, 2024, "Developing an Intelligent Transportation Management Center (ITMC) with a Safety Evaluation Focus for Smart Cities (04-110)", https://doi.org/10.15787/VTT1/P9GYI6, VTTI, V1
Project Description: The Intelligent Transportation Management Center (ITMC) project was launched to address the limitations of traditional Transportation Management Centers (TMCs) by integrating advanced technologies such as machine learning, big data science, and image processi... |
Jan 12, 2024 - Safe-D UTC
Sadeghi, Amir Reza; Jahangiri, Arash; Machiani, Sahar Ghanipoor; Hankey, Steve; Abdollahpour, Seyed Sajjad, 2024, "Developing a Framework for Prioritizing Bicycle Safety Improvement Projects using Crowdsourced and Image-Based Data (06-010)", https://doi.org/10.15787/VTT1/2PQA0O, VTTI, V1
Project Description: Data was collected through multiple sources listed below, in multiple steps, during the years 2022 and 2023. StreetLight Data EPA EJScreen tool ESRI GIS Layer based on Census data and SANDAG Shapefiles Street-Level Metrics Based on Google Street View (GSV) Im... |
Dec 7, 2023 - Safe-D UTC
Klauer, Charlie; Anderson, Gabrial, 2023, "Evaluation of Eyes Off Road During L2 Activation on Uncontrolled Access Roadways (VTTI-00-031)", https://doi.org/10.15787/VTT1/C9NX7E, VTTI, V1, UNF:6:T+IfNTI3maAfEQn6C9ngHQ== [fileUNF]
Project Description: The current study investigated eyes off-road (EOR) behavior of drivers when traveling on uncontrolled access roadways in vehicles equipped with L2 automated features. Previously collected naturalistic driving data (NDD) were analyzed. 771 events were split be... |
Dec 7, 2023 - Safe-D UTC
Wei, Ran; McDonald, Anthony; Garcia, Alfredo; Markkula, Gustav; Engström, Johan; O’Kelly, Matthew; Johnson, Leif; Supeene, Isaac, 2023, "Enhancing automated vehicle safety through testing with realistic driver models (06-009)", https://doi.org/10.15787/VTT1/LWA2VP, VTTI, V1
Project Description: Improving safety during interactions between human drivers and automated vehicles requires an environment where autonomous vehicle software can interact with realistic human driving behavior. Generating this behavior has been challenging due a lack of driver... |
Dec 7, 2023 - Safe-D UTC
Sonth, Akash; Xu, Yanchao; Wang, Hong; Sarkar, Abhijit, 2023, "Real-Time Risk Prediction at Signalized Intersection Using Graph Neural Network (06-012)", https://doi.org/10.15787/VTT1/BBJGFE, VTTI, V1
Project Description: The project concerns with Real Time Risk Prediction at Signalized Intersection Using Graph Neural Network. We have primarily shown how existing infrastructure cameras and computer vision methods can be leveraged to study real time risk at every intersection.... |
Nov 30, 2023 - Safe-D UTC
Mollenhauer, Mike; White, Elizabeth; Robinson, Sarah; Vaughan, Will; Novotny, Adam, 2023, "E-Scooter Safety Assessment and Campus Deployment Planning (VTTI-00-023)", https://doi.org/10.15787/VTT1/0PNR4U, VTTI, V1, UNF:6:3VY2FMuV3PoAj5ftui473Q== [fileUNF]
Project Description:. VTTI and Spin deployed a fleet of e-scooters on the Virginia Tech campus through an exclusive, controlled research program from September 2019 through May 2022. Through on-scooter data acquisition systems, fixed infrastructure cameras, anecdotal injury repor... |
