United States Department of Transportation
i
Connected and Automated Vehicle (CAV) Data Infrastructure and Access Phase 1 and 2
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2021-11-09
[PDF-5.50 MB]
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Alternative Title:Connected and Automated Vehicle (CAV) Data Infrastructure and Access -- Phase 1 and 2
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Edition:Final Report
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Abstract:This project developed a system for data access to UMTRI data by creating formal paperwork and guidance. Many researchers wanted access to connected and automated vehicle (CAV) data collected over three decades by UMTRI and its partners. Each data collection has unique personal identifiable information (PII) to protect. A data management committee was established in Phase 1to create forms and define an initial pilot process. CAV data includes real-world driver video and kinematic data collected from vehicles equipped with specialized equipment for Vehicle-to-Vehicle (V2V) and Vehicle-to-Infrastructure (V2I) communication to analyze safety benefits of connected vehicle technologies and driver warning systems. Also known as naturalistic driving data (NDD), the four data collection projects are: the Safety Pilot Model Deployment (SPMD); the Ann Arbor Connected Vehicle Test Environment (AACVTE); the Integrated Vehicle-Based Safety Systems Light Vehicle Field Operational Tests (IVBSS LVFOT); and the Heavy Truck Field Operational Tests (IVBSS HTFOT). The data owner is the Principal Investigator (PI) of the study the data originated from. There are many secondary uses (i.e. lane-change behavior analysis) for this complex data. Phase 2 led to smoother data access and four codebooks for new users to understand data with less technical guidance. The new process provided access to 39 different requestors. These included provision of 16 different datasets (counting subsets such as bicyclists and bus datasets, as well as separate extracts). The data requestors had 13 different advisors and at least 12 publications.
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