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iTLM: A Privacy Friendly Crowdsourcing Architecture for Intelligent Traffic Light Management
Roth, Christian
, Nitschke, Mirja , Hörmann, Matthias and Kesdogan, Dogan
(2020)
iTLM: A Privacy Friendly Crowdsourcing Architecture for Intelligent Traffic Light Management.
Proceedings of the 9th International Conference on Data Science, Technology and Applications (DATA 2020) 1, pp. 252-259.
Date of publication of this fulltext: 09 Jul 2020 06:47
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| Item type | Article | ||||
| Journal or Publication Title | Proceedings of the 9th International Conference on Data Science, Technology and Applications (DATA 2020) | ||||
| Publisher: | SciTePress | ||||
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| Volume: | 1 | ||||
| Page Range: | pp. 252-259 | ||||
| Date | July 2020 | ||||
| Institutions | Business, Economics and Information Systems > Institut für Wirtschaftsinformatik > Lehrstuhl für Wirtschaftsinformatik IV (Prof. Dr. Doğan Kesdoğan) Informatics and Data Science > Department Information Systems > Lehrstuhl für Wirtschaftsinformatik IV (Prof. Dr. Doğan Kesdoğan) | ||||
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| Keywords | Traffic Light, V2X, Privacy, Attribute-Based-Credentials, Privacy-ABC System, Reinforcement Learning, Privacy-by-design | ||||
| Dewey Decimal Classification | 000 Computer science, information & general works > 004 Computer science | ||||
| Status | Published | ||||
| Refereed | Yes, this version has been refereed | ||||
| Created at the University of Regensburg | Yes | ||||
| Item ID | 43466 |
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