Center for Data Reduction and Analysis Support
The Center for Data Reduction and Analysis Support (CDRAS) supports standardized access to and analysis of numerous naturalistic driving study data sets (currently 2.5 PB) housed at the Virginia Tech Transportation Institute for researchers within and outside of the institute. Services include coding of video and audio data, data quality assurance, data standardization, data mining, event selection, and data analysis. The center actively supports data analysis collaborations with external institutions.
SHRP2 NDS Data Dissemination and User Technical Support
Projects are focused on the accessibility and application assistance of general use data files and interfaces to support data users, including those that are not SHRP 2 contractors. As part of this effort, reduced or de-identified files such as trip files, event files, and other reduced or aggregated files were developed to provide easier access to the SHRP 2 naturalistic driving study data. The projects included the production and distribution of early results from the NDS data, data documentation, webinars, workshops, and other training and communication activities. Read More
Shanghai NDS Study
The Virginia Tech Transportation Institute (VTTI) and its research partners are transitioning lessons learned about conducting naturalistic driving research to China. Tongji University of Shanghai, General Motors, and VTTI are collaborating to study driving in Shanghai, the most populated city in China, with over 20 million people and two million cars. The project is the first study outside of the U.S. to use the NextGen data acquisition system developed by VTTI to collect vehicle, traffic, and driver behavior data. Read More
Support for FHWA Safety Training and Analysis Center
The SHRP2 Safety Data consists of an extensive collection of detailed information describing the driver, vehicle, trip, and roadway. The driver, vehicle and trip information is referred to as NDS data, while the roadway data is referred to as RID data. Read More
Generation of de-identified SHRP2 trip traces
The objective of this project is to describe the nature of a trip (trip-purpose, in modeling terms) without revealing personally identifying information. A method to retrieve generic location categories from Google Maps has been developed and is being applied on the Raleigh, North Carolina portion of the SHRP2 NDS data set. Buffers around coordinate pairs are being tested. Read More
Data Reduction Group
The Data Reduction Group serves many different research groups, both within and outside of VTTI, whose research requires video and/or audio analysis in the areas of driver performance and behavior metrics, situational analyses, and environmental characteristics. Its goal is to provide efficient, accurate, and comprehensive coding of videos to meet the specific needs of each unique research project. Our work begins with conducting necessary groundwork to prepare a video dataset for analysis and working alongside the researcher to develop a data reduction protocol. We then train and manage the required data reduction staff, conduct extensive quality control throughout the reduction phase, and prepare final sets of coded data. In addition to the Group Leader, the group currently encompasses an analyst, a team of coordinators, a trainer, and support staff as well as a large staff of Data Reductionists housed within three Data Reduction Labs with nearly 50 combined workstations. The labs currently operate six days a week, 60 hours per week.
Data Analysis Support
The Data Analysis Support Group facilities analysis of naturalistic driving data by providing timely and efficient access to the data sets hosted at the Virginia Tech Transportation Institute. The group is composed of experts in data preparation, standardization, mining, and analysis. Analysis support services are provided to any organization interested in utilizing large-scale driving data sets.