Global Traffic Model and Its Application for Accident Detection
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21260%2F13%3A00214545" target="_blank" >RIV/68407700:21260/13:00214545 - isvavai.cz</a>
Výsledek na webu
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DOI - Digital Object Identifier
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Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Global Traffic Model and Its Application for Accident Detection
Popis výsledku v původním jazyce
Automatic Incident Detection (AID) systems serve for recognition of traffic accidents in the data from particular part of road network. The input for such systems is continuously measured traffic parameters and the output can be utilized for traffic control systems and systems informing the drivers. This paper describes AID system based on global traffic state model created from historical traffic sensors data from a particular investigated area as a whole. The very high dimension of global multidimensional traffic states is reduced using Principal Component Analysis (PCA). Finally, the clustering methods are used in order to detect the abnormal states which most probably stand for accidental traffic conditions or other unwanted non-standard situations.
Název v anglickém jazyce
Global Traffic Model and Its Application for Accident Detection
Popis výsledku anglicky
Automatic Incident Detection (AID) systems serve for recognition of traffic accidents in the data from particular part of road network. The input for such systems is continuously measured traffic parameters and the output can be utilized for traffic control systems and systems informing the drivers. This paper describes AID system based on global traffic state model created from historical traffic sensors data from a particular investigated area as a whole. The very high dimension of global multidimensional traffic states is reduced using Principal Component Analysis (PCA). Finally, the clustering methods are used in order to detect the abnormal states which most probably stand for accidental traffic conditions or other unwanted non-standard situations.
Klasifikace
Druh
O - Ostatní výsledky
CEP obor
JO - Pozemní dopravní systémy a zařízení
OECD FORD obor
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Návaznosti výsledku
Projekt
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Návaznosti
V - Vyzkumna aktivita podporovana z jinych verejnych zdroju
Ostatní
Rok uplatnění
2013
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů