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Balsa-Barreiro, José, Pedro M. Valero, Ignacio Pareja, and Mar Sánchez. 2014. “Quality control procedure for naturalistic driving data using Geographic Information Systems.” Paper presented at the 4th European Conference on Human Centred Design for Intelligent Transport Systems, Vienna (Austria), Jun 05-06.
Naturalistic driving experiments provide a comprehensive observation of the driver´s behaviour in real driving conditions, performing a monitoring of a great number of parameters at high frequencies. However, the ambition of this experimental method is, at the same time, its main drawback. The difficulties in handling large data volumes and the absence of a methodology for the different phases of the experiment results in data losses which occur relatively frequent. Until now, there are no accepted methodologies for quality control procedures of the data, adapting the manual review of certain data sets as a commom procedure. This paper proposes a work methodology for quality control of naturalistic driving data using Geographic Information Systems (GIS). These systems enable a fast, efficient and effective data analysis. Some graphical examples with presence of errors are shown.