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Using Extended Raster File for Real Time Traffic Information Mining

Abstract : Gauging and analyzing the ever-growing strain on today’s roadways is an issue that needs to be adressed with urgency. The rate at which technology is developing and the amount of vehicles now equipped with GPS systems are factors that ensure the potential for creating statistics to gauge this strain. When processing data gathered from monitored vehicles, it is necessary to implement procedures that identify specific roadways upon which a given vehicle’s movement is recorded. With respects to the volume of this data, a method for indexing these data files becomes a critical issue. Within the following text, we will present a process of collecting and processing data in the FLOREON+ Traffic system and spacial indexing using a raster index that processes queries at a much greater speed than standard indexing.
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Michal Radecký, Jan Martinovič, Dušan Fedorčák, Radek Tomis, Ivo Vondrák. Using Extended Raster File for Real Time Traffic Information Mining. 11th International Conference on Computer Information Systems and Industrial Management (CISIM), Sep 2012, Venice, Italy. pp.416-427, ⟨10.1007/978-3-642-33260-9_36⟩. ⟨hal-01551735⟩

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