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With growing market penetration of technologies such as automatic vehicle classification, vehicle and trip GPS data, remote sensing data and other geography-enabled transportation related data, there is the desire to leverage available open data (non-proprietary) along with the growing inventory of traditional (proprietary or otherwise sensitive) data sets.
These data are being harvested mostly from equipment-generated data streams (e.g., geographic positioning system (GPS), Intelligent Transportation Systems (ITS); Automatic Vehicle Location (AVL), Remote sensing technology, connected & automated vehicles, video and sensors.
The availability and processing of these emerging data streams including how they fall into the “big data” category is becoming more pertinent in much of the transportation industry as a whole. And with this data and advanced processing techniques, it provides opportunities for integrating these new data with other transportation related datasets to strengthen the understanding of transportation systems and their spatial distributions and impacts.
This call for papers is focused on examples of fusing open data with non-open data (or 3rd party private sector data). What works, what doesn't, technical and policy issues, and the value of fusion.
Specific data may include but are not limited to:
Specific applications of interest include but are not limited to:
AED10(2) - Subcommittee on Roadway Safety Data