Intergraph to Highlight Departments of Transportation Successful Use of Geospatial Technologies at GIS-T Conference

Intergraph Corporation will be showcasing its successes with leading Departments of Transportation at the GIS for Transportation (GIS-T) Symposium March 25-28 in Nashville, Tenn.

Fostering innovative technology by leading the industry with the first Multi-level Linear Referencing System Solution, Intergraph helps hundreds of state, provincial, and national governments responsibly administer public infrastructure. From the management of assets and operations of roads, public works, and property to the facilitation of precision analysis for capital and budget, traffic and safety planning; and delivery of timely and accurate information to stakeholders, Intergraph continues to develop cutting-edge geospatial technologies.

At GIS-T, Intergraph and its department of transportation customers will highlight successful implementations. Sessions include:

Supporting Kansas ITS Efforts;

The Integrated Transportation Enterprise – South Carolina Department of Transportation’s Answer to the Need for Enterprise Data Access;

Statewide Image Access through Easy-to-Use Web Portal, presented by Tennessee Department of Transportation and Intergraph; and

Feeding your HPMS: Hawaii Department of Transportation, presented by Intergraph.
Additionally, New York City Transit has been selected to receive Intergraph’s “Geospatial Innovations for Transportation” award. This award, presented to those few transportation organizations that use geospatial technology in a truly innovative way, highlights New York City Transit’s innovative development of the Subway Viewer Web Application. The award was announced during the Intergraph reception immediately following the GIS-T Conference opening reception.

Exhibit demonstrations at Intergraph’s booth #9 - 12 will explore enterprise-wide imagery management, access and distribution, straight line diagrams on the Web for transportation linear data, multilevel linear referencing and temporal data management.