Publications

@article{Luckner2022,
title = {Estimating Population Density Without Contravening Citizen's Privacy: Warsaw Use Case},
author = {Marcin Luckner and Izabella Krzemi{\'{n}}ska and Piotr Wawrzyniak and Jaros{\l}aw Legierski},
url = {https://ieeexplore.ieee.org/document/9497518},
year = {2022},
date = {2022-01-01},
journal = {IEEE Transactions on Systems, Man, and Cybernetics: Systems},
volume = {52},
number = {7},
pages = {4494--4506},
publisher = {IEEE},
abstract = {Spatial data on a cellular network load can be used to develop commercial and public services. However, such data is calculated based on individual users' behavior and can contravene their privacy rights. Moreover, direct tracking of individual devices violates the European Union's regulations. To solve this issue, we propose to use data aggregated in individual cells of the public land mobile network without tracking an individual mobile device in the entire process. To prove that the proposed data collection method is useful, we compared the obtained results with a closed-circuit television system in an estimation of the number of people. The proposed system is sensitive enough to detect untypical global events in an urban area and distinguish transport demand zones of various types as we showed on real data from the City of Warsaw.},
keywords = {big data, Data privacy, location statistics, per- vasive computing},
pubstate = {published},
tppubtype = {article}
}

@article{Luckner2020a,
title = {IoT Architecture for Urban Data-Centric Services and Applications},
author = {Marcin Luckner and MacIej Grzenda and Robert Kunicki and Jaroslaw Legierski},
url = {https://dl.acm.org/doi/10.1145/3396850},
doi = {10.1145/3396850},
issn = {15576051},
year = {2020},
date = {2020-01-01},
journal = {ACM Transactions on Internet Technology},
volume = {20},
number = {3},
abstract = {In this work, we describe an urban Internet of Things (IoT) architecture, grounded in big data patterns and focused on the needs of cities and their key stakeholders. First, the architecture of the dedicated platform USE4IoT (Urban Service Environment for the Internet of Things), which gathers and processes urban big data and extends the Lambda architecture, is proposed. We describe how the platform was used to make IoT an enabling technology for intelligent transport planning. Moreover, key data processing components vital to provide high-quality IoT data streams in a near-real-time manner are defined. Furthermore, tests showing how the IoT platform described in this study provides a low-latency analytical environment for smart cities are included.},
keywords = {big data, data processing, Data stream, public transport},
pubstate = {published},
tppubtype = {article}
}