Abstract
Nowadays, data are generated and collected in many domains from various sources. In most of the cases, they are handled as common data where some simple calculations are used to analyse them as measuring the average, the maximum, the deviation, etc. For instance, the average number of children in European families is 1.8 children. This kind of assessment is far away from reality: the number of children should be an integer number. For this reason, exemplars have a finer meaning since its aim, in this case, is to look of an exemplar of a common family in Europe which has 2 children (the most representative family). The aim of this paper is to propose a methodology able to extract representative exemplars from a dataset. This methodology has been experimented with dataset extracted from experimentations of connected vehicle traces. This data analysis has shown some interesting features: the vehicle connectivity guarantees that messages are not lost.
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Acknowledgement
This work was made possible by EC Grant No. INEA/CEF/TRAN/A2014/1042281 from the INEA Agency for the SCOOP project. The statements made herein are solely the responsibility of the authors.
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Bourdy, E., Piamrat, K., Herbin, M., Fouchal, H. (2018). New Method for Selecting Exemplars Application to Roadway Experimentation. In: Hodoň, M., Eichler, G., Erfurth, C., Fahrnberger, G. (eds) Innovations for Community Services. I4CS 2018. Communications in Computer and Information Science, vol 863. Springer, Cham. https://doi.org/10.1007/978-3-319-93408-2_6
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DOI: https://doi.org/10.1007/978-3-319-93408-2_6
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