Automatic Incident Detection Based on Historical Model Created Using PCA Method

Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21260%2F13%3A00214552" target="_blank" >RIV/68407700:21260/13:00214552 - isvavai.cz</a>
Výsledek na webu
<a href="http://www.transcom2013.sk/uploads/artfiles/proc/S01.zip" target="_blank" >http://www.transcom2013.sk/uploads/artfiles/proc/S01.zip</a>
DOI - Digital Object Identifier
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Jazyk výsledku
angličtina
Název v původním jazyce
Automatic Incident Detection Based on Historical Model Created Using PCA Method
Popis výsledku v původním jazyce
Automatic Incident Detection (AID) in road networks serves as an input for traffic control systems and systems informing the drivers. The paper describes global traffic state model approach based on processing of traffic sensors data from particular area. The dimension of multidimensional traffic states is reduced using Principal Component Analysis (PCA). Comparing field data with a historical model (typical traffic behavior in the area), it is possible to automatically detect non-standard traffic situations (accidents).
Název v anglickém jazyce
Automatic Incident Detection Based on Historical Model Created Using PCA Method
Popis výsledku anglicky
Automatic Incident Detection (AID) in road networks serves as an input for traffic control systems and systems informing the drivers. The paper describes global traffic state model approach based on processing of traffic sensors data from particular area. The dimension of multidimensional traffic states is reduced using Principal Component Analysis (PCA). Comparing field data with a historical model (typical traffic behavior in the area), it is possible to automatically detect non-standard traffic situations (accidents).

Rok uplatnění
2013
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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