About
About
Applications of Enterprise GIS in Transportation (AEGIST), a States-led Pool Fund Study (PFS), was initiated by the Federal Highway Administration’s (FHWA) Office of Planning in 2018 to help construct a consistent, enterprise-level deployment of a spatial data infrastructure at State departments of transportations. The PFS includes over 16 states who are currently advancing existing practices, standards, tools and systems used for management of spatial data.
Phase I
During Phase 1 of the study, the AEGIST Guidebook was developed. The purpose of the guidebook is to help the Federal Highway Administration and the States migrate to the enterprise level for creating, maintaining, and governing data related to roadways and their characteristics, elements, and events. It is based on a consensus best practices approach to the management of technology, data, and transportation system assets.
Phase II
Phase 2 of this PFS began in October 2019. The focus of Phase 2 is coordination with the participating states and utilizing their collective input to develop and implement solutions, standards, and tools for spatial data management and procedures associated with data modeling, quality, integration, engineering, analytics and governance.
Coordination will take place through workshops, webinars, peer exchanges and quarterly meetings during 2021-2024.
Based on these inputs, an updated version of the guidebook will be published to document best practices and implementation approaches.
Resources
- Applications of Enterprise GIS in Transportation (AEGIST) Guidebook v1.0
Read the Guidebook v1.0 - Guidebook v2.0 Under Development
- AEGIST Interim Report
How do I get involved?
For more information and version 1.0 of the guidebook, please visit:Â https://www.gis.fhwa.dot.gov/AEGIST.aspx
- Questions? Contact Joe Hausman, FHWA
Joseph.Hausman@dot.gov
How does my agency benefit by getting involved?
- Receive 750 hours of services to plan and support technical priorities of Pooled Fund Study agencies
- Get guidance on agency-specific issues and challenges
- Share in peer states and agency best practices information
- Advance data modeling, integration, engineering, analysis tools and standards