EMF Modeling in Traffic Surveillance Experiments

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Abstract—We use a wireless sensor network equipped with acceleration sensors to measure seismic waves caused by rolling traffic. In this paper, we report on our experiences in applying an EMF-based data infrastructure to these experiments. We built an experimentation infrastructure that replaces unstructured text-file based management of data with a model-based approach. We use EMF to represent sensor data and corresponding analysis results; we use an extension of EMF’s resource API to persist data in a database; and we use model transformations to describe data analysis. We conclude that a model based approach leads to safer, better documented, and more reproducible experiments.

KeywordsTraffic surveillance , Wireless Sensor Networks, EMF, Smart City

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@inproceedings{Scheidgen:2012:EMT:2491617.2491622,
 author = {Scheidgen, Markus and Zubow, Anatolij},
 title = {EMF modeling in traffic surveillance experiments},
 booktitle = {Proceedings of the Modelling of the Physical World Workshop},
 series = {MOTPW '12},
 year = {2012},
 isbn = {978-1-4503-1808-2},
 location = {Innsbruck, Austria},
 pages = {5:1--5:6},
 articleno = {5},
 numpages = {6},
 url = {http://doi.acm.org/10.1145/2491617.2491622},
 doi = {10.1145/2491617.2491622},
 acmid = {2491622},
 publisher = {ACM},
 address = {New York, NY, USA},
}

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