Automatic Incident Detection Based on Historical Model Created Using PCA Method
The result's identifiers
Result code in 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>
Result on the web
<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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Alternative languages
Result language
angličtina
Original language name
Automatic Incident Detection Based on Historical Model Created Using PCA Method
Original language description
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).
Czech name
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Czech description
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Classification
Type
O - Miscellaneous
CEP classification
JO - Land transport systems and equipment
OECD FORD branch
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Result continuities
Project
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Continuities
V - Vyzkumna aktivita podporovana z jinych verejnych zdroju
Others
Publication year
2013
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů