Promotional Opportunities
The Transportation Research Board has developed an enhanced selection of promotional opportunities for the 104th Annual Meeting. Maximize the visibility of your organization with a patron opportunity, or with advertising in the printed program or in the AM Express digital daily newsletter.
The Transportation Research Board has developed an enhanced selection of promotional opportunities for the 104th Annual Meeting. Maximize the visibility of your organization with a patron opportunity.
All available patron opportunities can be viewed in the gallery below.
Ecopia is an industry-leading geospatial data provider that leverages the power of artificial intelligence to extract highly precise 3D geometry from imagery and LiDAR inputs, delivering consistent, maintained annual results that exceed the accuracy of a GIS-Professional (>95% geometric accuracy).
Our Land Cover classification and Transportation Network Layer products are trusted by local state and federal governments in the US and across the world.
Press Releases
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The Pima Association of Governments (PAG) has selected Ecopia AI to extract high-precision mapping data from imagery to support carbon reduction, active transportation, and multimodal planning goals. Upon completion, the Ecopia data will be used by consultants from Alta Planning + Design to perform geospatial analytics related to active transportation planning and carbon reduction. The insights derived from this analysis will then inform the development of PAG’s Regional Active Transportation Plan, a project supported by consultants from Kimley-Horn. For example, the data provided by Ecopia will power gap analyses of existing active transportation infrastructure and serve as a guide for future investments and improvements. Among other applications of this data are understanding the impact of tree canopy and shade on pedestrian comfort, measuring the level of traffic stress for existing active transportation users, and overall connectivity between the region’s different transportation modes, such as from bus stops to the walk to work.
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