TAIGA Technology Transfer to the State of Alaska
October 17, 2014
On October 6, 2014, NASA officially delivered the Traffic and Atmospheric Information for General Aviation (TAIGA) technology to the State of Alaska. TAIGA, a collection of algorithms, concepts and data, is the result of a joint effort between NASA Ames Research Center and the State of Alaska. TAIGA is designed to help pilots make better flight decisions, especially when the typical sources of pilot information, such as the Internet, telephone, and flight services are not available. NASA developed a satellite-based communication method through which regional data is sent only to that specific geographical region, and the customized data sets can be downloaded quickly and plugged into a mobile application. NASA developed a conceptual version of the mobile software application, which includes full 3-D terrain visualization, and which is available separately. The algorithms, concepts and data are available as an open-source project for further development by industry and the aviation community into an end-user system. In a recent test at Ames, data from a satellite-based messaging system was successfully received on the satellite receiver and viewed on the concept version of the mobile app while in flight. Since sending data via satellite can be expensive, NASA also developed a method for tightly bundling the data to be transmitted, thereby decreasing the cost of satellite data transmission using this technology. (POC: Joseph Rios)
Best Papers at the Digital Avionics Systems Conference
October 17, 2014
L-R: Min Xue, Christabelle Bosson, and Shannon Zelinski
The Aviation Systems Division research was honored with two awards at the recent Digital Avionics Systems Conference (DASC) in Colorado Springs, Colorado which took place October 6-10, 2014. Christabelle Bosson and co-authors Min Xue and Shannon Zelinski were awarded the best paper award across the entire Air Traffic Management track (covering over 20 papers in 5 sessions) for their paper, “Optimizing Integrated Terminal Airspace Operations Under Uncertainty.” Michelle Eshow and co-authors Max Lui and Shubha Ranjan were also awarded best paper in the Collaborative Decision Making (CDM)/System Wide Information Management (SWIM) session for their paper, “Architecture and Capabilities of a Data Warehouse for ATM Research.”