About: Tool for Analysis of Extraordinary States in Complex Traffic Networks

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An Entity of Type : http://linked.opendata.cz/ontology/domain/vavai/Vysledek, within Data Space : linked.opendata.cz associated with source document(s)

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rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
Description	Urban areas are equipped with hundreds of traffic sensors. The basic problem is to transform the tremendous time series of measured traffic parameters to the simple parameter which estimates the quality of services over this network. This happens mostly based on the judgement of dispatchers sitting in control centers. The paper presents a method for evaluating comprehensive transport network based on the methods of artificial intelligence. The collected data are transformed into 3D state space where real-time traffic data analysis is being running instead to provide analysis of time series over a set of measured detectors. State space transform is provided by Principal Component Analysis application. It enables significant data reduction and their representation in new dimension. New data are represented by principal (main) components. These outputs usually have lower volume of data and reduced dimensionality, in comparison with the original input data. In further research step is to be introduced some classification method for recognition of extraordinary traffic situation. Urban areas are equipped with hundreds of traffic sensors. The basic problem is to transform the tremendous time series of measured traffic parameters to the simple parameter which estimates the quality of services over this network. This happens mostly based on the judgement of dispatchers sitting in control centers. The paper presents a method for evaluating comprehensive transport network based on the methods of artificial intelligence. The collected data are transformed into 3D state space where real-time traffic data analysis is being running instead to provide analysis of time series over a set of measured detectors. State space transform is provided by Principal Component Analysis application. It enables significant data reduction and their representation in new dimension. New data are represented by principal (main) components. These outputs usually have lower volume of data and reduced dimensionality, in comparison with the original input data. In further research step is to be introduced some classification method for recognition of extraordinary traffic situation. (en)
Title	Tool for Analysis of Extraordinary States in Complex Traffic Networks Tool for Analysis of Extraordinary States in Complex Traffic Networks (en)
skos:prefLabel	Tool for Analysis of Extraordinary States in Complex Traffic Networks Tool for Analysis of Extraordinary States in Complex Traffic Networks (en)
skos:notation	RIV/68407700:21260/13:00214544!RIV14-MSM-21260___
http://linked.open...avai/riv/aktivita	V
http://linked.open...avai/riv/aktivity	V
http://linked.open...vai/riv/dodaniDat	2014
http://linked.open...aciTvurceVysledku	Přibyl, Pavel Škodáček, Martin
http://linked.open.../riv/druhVysledku	O - Ostatní výsledky nezařaditelné do žádného z výše uvedených druhů výsledku
http://linked.open...iv/duvernostUdaju	S - Úplné a pravdivé údaje nepodléhající ochraně podle zvláštních právních předpisů
http://linked.open...titaPredkladatele	České vysoké učení technické v Praze / Fakulta dopravní
http://linked.open...dnocenehoVysledku	111248
http://linked.open...ai/riv/idVysledku	RIV/68407700:21260/13:00214544
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	traffic; quality; reduction; state; space (en)
http://linked.open.../riv/klicoveSlovo	quality reduction space state traffic
http://linked.open...ontrolniKodProRIV	[515BFDCBBA82]
http://linked.open...in/vavai/riv/obor	JO
http://linked.open...ichTvurcuVysledku	2 (xsd:int)
http://linked.open...cetTvurcuVysledku	2 (xsd:int)
http://linked.open...UplatneniVysledku	2013
http://linked.open...iv/tvurceVysledku	Přibyl, Pavel Škodáček, Martin
http://localhost/t...ganizacniJednotka	21260

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