Linking the second Strategic Highway Research Program (SHRP 2) Naturalistic Driving Study (NDS) data to the SHRP 2 Roadway Information Database (RID) will support researchers whose work involves relating information from the driving data to information in the roadway data. The SHRP 2 project collected more than 1 million hours of driving data: it measured speed, acceleration, latitude and longitude, distance and speed relative to other vehicles, as well as recorded video of the vehicle’s driver and its surroundings. Additionally, the project collected roadway data and made detailed descriptions of a subset of those roads driven, such as the number of lanes, presence of rumble strips, barrier types, and shoulder width. Almost all driver- and vehicle-related safety research questions benefit from considering the surrounding roadway environment, and most roadway safety research questions benefit from the study of drivers and vehicles on comparable sections of roadway. Many believe the highest return on safety research will be achieved through the study of the interactions among the driver, roadway, and vehicle. This project is intended to provide researchers with a means for connecting or associating the data collected from the driver and vehicle subsystems and the roadway subsystem. As described in detail below, that “means” is a massive linking table (approximately 305 million rows with 2.6 million unique links) containing a listing of map-based roadway links traveled by each NDS vehicle on each trip it made. The RID contains the same map-based link identification numbers for each roadway segment for which inventory data have been collected. The number of links for which data are available varies, depending on the type of data. For example, approximately 120,000 links have measures by roadway data collection vans. To deliver this association, the vehicle position, reported by a Global Positioning System (GPS).


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    Understanding crashes involving roadway objects with SHRP 2 naturalistic driving study data

    Hao, Haiyan / Li, Yingfeng / Medina, Alejandra et al. | Elsevier | 2020



    Integrating Adaptive Lighting Database with SHRP 2 Naturalistic Driving Study Data

    Li, Yingfeng / Gibbons, Ronald / Medina, Alejandra | Transportation Research Record | 2019


    Naturalistic Driving Study: Field Data Collection

    Blatt A. / Pierowicz J. / Flanigan M. et al. | NTIS | 2015