In air traffic, safety is the key word. Safety is kept in numerous ways. One of these ways is with the help of Aeronautical Information (AI). AI is all information regarding air traffic, i.e. aerodrome hours of operation, weather reports and information about unserviceable navigational aids. Sometimes it happens that some of the information does not reach the pilots in the aircraft, which can have a negative impact on safety. This thesis examines the flow of AI all the way from the originator of the information to the end-user, and analyzes it to find where the errors occur. The thesis is based on the rules and regulations set by ICAO, the International Civil Aviation Organization, two field trips to the Swedish AI provider LFV, and interviews with four airlines, Novair, NextJet, Malmö Aviation, and SAS. The results exposes where in the flow the weakness exists, and finally gives advice as to how these weaknesses can be addressed.
| Identifer | oai:union.ndltd.org:UPSALLA1/oai:DiVA.org:liu-104022 |
| Date | January 2013 |
| Creators | Isulv, Alexandra, Lage, Jonatan |
| Publisher | Linköpings universitet, Kommunikations- och transportsystem, Linköpings universitet, Tekniska högskolan, Linköpings universitet, Kommunikations- och transportsystem, Linköpings universitet, Tekniska högskolan |
| Source Sets | DiVA Archive at Upsalla University |
| Language | English |
| Detected Language | English |
| Type | Student thesis, info:eu-repo/semantics/bachelorThesis, text |
| Format | application/pdf |
| Rights | info:eu-repo/semantics/openAccess |
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