Paper
5 May 2010 Standardization of databases for AMDB taxi routing functions
Author Affiliations +
Abstract
Input, management, and display of taxi routes on airport moving map displays (AMM) have been covered in various studies in the past. The demonstrated applications are typically based on Aerodrome Mapping Databases (AMDB). Taxi routing functions require specific enhancements, typically in the form of a graph network with nodes and edges modeling all connectivities within an airport, which are not supported by the current AMDB standards. Therefore, the data schemas and data content have been defined specifically for the purpose and test scenarios of these studies. A standardization of the data format for taxi routing information is a prerequisite for turning taxi routing functions into production. The joint RTCA/EUROCAE special committee SC-217, responsible for updating and enhancing the AMDB standards DO-272 [1] and DO-291 [2], is currently in the process of studying different alternatives and defining reasonable formats. Requirements for taxi routing data are primarily driven by depiction concepts for assigned and cleared taxi routes, but also by database size and the economic feasibility. Studied concepts are similar to the ones described in the GDF (geographic data files) specification [3], which is used in most car navigation systems today. They include - A highly aggregated graph network of complex features - A modestly aggregated graph network of simple features - A non-explicit topology of plain AMDB taxi guidance line elements This paper introduces the different concepts and their advantages and disadvantages.
© (2010) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
C. Pschierer, A. Sindlinger, and J. Schiefele "Standardization of databases for AMDB taxi routing functions", Proc. SPIE 7689, Enhanced and Synthetic Vision 2010, 768905 (5 May 2010); https://doi.org/10.1117/12.850112
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CITATIONS
Cited by 3 scholarly publications and 3 patents.
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KEYWORDS
Databases

Data modeling

Multi-element lenses

Data processing

Roads

Intelligence systems

Navigation systems

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