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Authors: Christian Roth ; Mirja Nitschke ; Matthias Hörmann and Doğan Kesdoğan

Affiliation: University of Regensburg, Regensburg, Germany

Keyword(s): Traffic Light, V2X, Privacy, Attribute-Based-Credentials, Privacy-ABC System, Reinforcement Learning, Privacy-by-design.

Abstract: Vehicle-to-everything (V2X) interconnects participants in vehicular environments to exchange information. This enables a broad range of new opportunities. We propose a self learning traffic light system which uses crowdsoured information from vehicles in a privacy friendly manner to optimize the overall traffic flow. Our simulation, based on real world data, shows that the information gain vastly decreases waiting time at traffic lights eventually reducing CO2 emissions. A privacy analysis shows that our approach provides a significant level of k-anonymity even in low traffic scenarios.

CC BY-NC-ND 4.0

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Paper citation in several formats:
Roth, C.; Nitschke, M.; Hörmann, M. and Kesdoğan, D. (2020). iTLM: A Privacy Friendly Crowdsourcing Architecture for Intelligent Traffic Light Management. In Proceedings of the 9th International Conference on Data Science, Technology and Applications - DATA; ISBN 978-989-758-440-4; ISSN 2184-285X, SciTePress, pages 252-259. DOI: 10.5220/0009831902520259

@conference{data20,
author={Christian Roth. and Mirja Nitschke. and Matthias Hörmann. and Doğan Kesdoğan.},
title={iTLM: A Privacy Friendly Crowdsourcing Architecture for Intelligent Traffic Light Management},
booktitle={Proceedings of the 9th International Conference on Data Science, Technology and Applications - DATA},
year={2020},
pages={252-259},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0009831902520259},
isbn={978-989-758-440-4},
issn={2184-285X},
}

TY - CONF

JO - Proceedings of the 9th International Conference on Data Science, Technology and Applications - DATA
TI - iTLM: A Privacy Friendly Crowdsourcing Architecture for Intelligent Traffic Light Management
SN - 978-989-758-440-4
IS - 2184-285X
AU - Roth, C.
AU - Nitschke, M.
AU - Hörmann, M.
AU - Kesdoğan, D.
PY - 2020
SP - 252
EP - 259
DO - 10.5220/0009831902520259
PB - SciTePress