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Memorias de investigación
Ponencias en congresos:
Event-Based Time Series Data Preprocessing: Application to Traffic Flow Time Series
Año:2014
Áreas de investigación
  • Ciencias de la computación y tecnología informática
Datos
Descripción
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.
Internacional
Si
Nombre congreso
nternational Work-Conference on Time Series (ITISE 2014)
Tipo de participación
960
Lugar del congreso
Granada, España
Revisores
Si
ISBN o ISSN
978-84-1581-497-9
DOI
Fecha inicio congreso
25/06/2014
Fecha fin congreso
27/06/2015
Desde la página
1268
Hasta la página
1279
Título de las actas
asociado al ISBN o ISSN: Proceedings ITISE 2014, International work-conference on Time Series
Esta actividad pertenece a memorias de investigación
Participantes
  • Autor: Aurora Perez Perez (UPM)
  • Autor: Juan Pedro Caraca-Valente Hernandez (UPM)
Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • 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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