Privacy and Utility Preserving Trajectory Data Publishing for Intelligent Transportation Systems

Privacy and Utility Preserving Trajectory Data Publishing for Intelligent Transportation Systems

Nowadays, the extensive collection and storage of massive personal GPS data in intelligent transportation systems every day provide great convenience for trajectory data analysis and mining research, thus bringing valuable information for real-life applications. Yet, protecting personal privacy is a...

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Bibliographic Details
Main Authors: Xiangwen Liu, Yuquan Zhu
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Privacy preservation
trajectory data publishing
splitting
generalization
ITS
Online Access:https://ieeexplore.ieee.org/document/9207897/

Internet

https://ieeexplore.ieee.org/document/9207897/

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