Result Details

Software pro predikci výskytu vozidel

Created: 2017
English title
Software for Predicting Vehicle Occurrence in Given Interval and Road Section
Type
software
Language
Czech
Authors
Koplík Karel, Ing., DCGM (FIT)
Zemčík Pavel, prof. Dr. Ing., dr. h. c., UAMT (FEEC), DCGM (FIT)
Description

Software načte databázová data ze zadaných detektorů a vrátí predikovaná data na detektoru, který má například poruchu. Podmínkou je existence modelu, který je natrénován na datech z období bez poruchy. Predikce probíhá v zadaném intervalu. Úsek je definován vybranými detektory.

English description

Software loads detectors' data from database and attempts to predict data on a detector which may be currently unavailable due to failure. For that to be possible there has to be a model trained on data acquired in period with no failure. Prediction is evaluated for given interval. Road section is given by selected detectors. 

Keywords

predikce výskytu vozidel, strojové učení, SVM, SVR

English keywords

vehicle occurrence prediction, machine learning, SVM, SVR

URL
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License Fee
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Files
Projects
Transport systems development centre, TAČR, Centra kompetence, TE01020155, start: 2012-04-01, end: 2018-03-31, completed
Research groups
Departments
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