The new sets of naturalistic driving data are a valuable resource for researchers and application developers to support the development of the next generation of transportation solutions. The data sets contain sanitized mobility data elements collected from about 3,000 vehicles equipped with connected vehicle technologies while traversing Ann Arbor, Michigan. The hyper-frequent, hyper-local data can facilitate analyses that provide insights into safety, network mobility, and performance.
