Inteligentní dopravní systémy
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Authors
Horák, Ondřej
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Vysoká škola báňská - Technická univerzita Ostrava
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Abstract
This thesis deal with the analysis of traffic data and traffic forecasts based on this data. It describes the various options for forecasting the speed of vehicles, including a comparison of predictive methods which is done on real measured data.
Selected methods of analysis and forecasting are implemented with regard to links to other parts of the system for analysis and simulation in the field of traffic.
Description
Import 04/07/2011
Subject(s)
forecast, linear regression, neural networks, time series, traffic