The Mobility Data Collaborative is a forum, established by SAE ITC, for public and private sector participants to develop frameworks for mobility data sharing. The group is comprised of public sector agencies, mobility operators, data analysis companies, and membership organizations such as the North American Bikeshare Association and the New Urban Mobility Alliance.
Mobility Data Methodology and Analysis is a short but detailed description of the methodology followed by Minnesota to manage and analyze data collected as part of a motorized scooter pilot program. The focus is on how they protected privacy and minimized any potential use or release of sensitive information through anonymization and aggregation.
Mobility Data Specification (MDS) is a widely used, open, standardized Application Programming Interface (API) for exchanging data between micromobility operators and public sector agencies. It has been adopted by more than 90 agencies across the world and by most major mobility providers.
Mobility Data State of Practice is a set of links, maintained by the Open Mobility Foundation, to a diverse set of policy and technical resources related to handling and protection of shared mobility data.
Mobility Metrics is an open-source software package for ingesting Mobility Data Specification (MDS) data feeds and aggregating the data in such a way that it is useful for analysis while protecting privacy.
A guideline to help transportation agencies improve their roadway and traffic data inventories, allowing extraction of such characteristics as connectivity of network elements. MIRE provides a platform for a common base to build travel model networks.
This report was published in 2011 and followed upon the work presented in NCFRP Report 9.
This guidebook is both a reference manual for setting up, operating, and enhancing freight data partnerships, as well as a procedural manual to aid in developing, negotiating, and formalizing data sharing agreements.
This report explored innovative approaches to obtaining and making comprehensive truck activity data publicly available. The study identified a number of challenges with using truck activity data, including users integrating data from multiple sources to answer critical policy questions, lack of temporal coverage, excluded commodity types in the national surveys, and the level of investment required to use and visualize the data.
This report presents the efforts to develop a freight data dictionary (FDD) for organizing the multiple freight data elements that are commonly used.