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Memorias de investigación
Communications at congresses:
Event-Based Time Series Data Preprocessing: Application to Traffic Flow Time Series
Year:2014
Research Areas
  • Information technology and adata processing
Information
Abstract
Traffic flow time series data are usually high dimensional and very complex. Also they are sometimes imprecise and distorted due to data collection sensor malfunction. Additionally, events like congestion caused by traffic accidents add more uncertainty to real-time traffic conditions, making traffic flow forecasting a complicated task. This article presents a new data preprocessing method targeting multidimensional time series with a very high number of dimensions and shows its application to real traffic flow time series from the California Department of Transportation (PEMS web site). The proposed method consists of three main steps. First, based on a language for defining events in multidimensional time series, mTESL, we identify a number of types of events in time series that corresponding to either incorrect data or data with interference. Second, each event type is restored utilizing an original method that combines real observations, local forecasted values and historical data. Third, an exponential smoothing procedure is applied globally to eliminate noise interference and other random errors so as to provide good quality source data for future work.
International
Si
Congress
nternational Work-Conference on Time Series (ITISE 2014)
960
Place
Granada, España
Reviewers
Si
ISBN/ISSN
978-84-1581-497-9
Start Date
25/06/2014
End Date
27/06/2015
From page
1268
To page
1279
asociado al ISBN o ISSN: Proceedings ITISE 2014, International work-conference on Time Series
Participants
  • Autor: Aurora Perez Perez (UPM)
  • Autor: Juan Pedro Caraca-Valente Hernandez (UPM)
Research Group, Departaments and Institutes related
  • Creador: Grupo de Investigación: Grupo de Investigación en Tecnología Informática y de las Comunicaciones: CETTICO
  • Departamento: Lenguajes y Sistemas Informáticos e Ingeniería de Software
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