Abstract

Traffic engineering applications often benefit from collecting vehicle GPS traces in well-defined locations. As a motivating example, we will consider a traffic signal performance evaluation technique which requires GPS traces of vehicles traversing intersections. Since these applications do not require vehicle identity information, they are a good candidate for data de-identification techniques. Prior techniques can either provide data from specific locations or guarantee a high degree of anonymity under light traffic conditions but do not achieve both. In this paper, we propose a virtual trip line zone-aware path cloaking algorithm which combines these features. Zones where data should be retained can be predefined over the intersections of interest and the path cloaking algorithm uses entropy-estimates to decide whether the data can be revealed. Result obtained from a traffic simulator show that the application success rate increased from 39 to 82% compared to a zone-unaware path cloaking algorithm, while achieving a similar degree of privacy.


Original document

The different versions of the original document can be found in:

http://dx.doi.org/10.1109/itsc.2011.6083142
http://www.winlab.rutgers.edu/~gruteser/papers/Bin11.pdf,
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.225.1081,
http://yadda.icm.edu.pl/yadda/element/bwmeta1.element.ieee-000006083142,
https://www.researchwithnj.com/en/publications/vtl-zone-aware-path-cloaking-algorithm-2,
https://trid.trb.org/view.aspx?id=1354471,
https://academic.microsoft.com/#/detail/2059356865
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Document information

Published on 01/01/2011

Volume 2011, 2011
DOI: 10.1109/itsc.2011.6083142
Licence: CC BY-NC-SA license

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