Privacy-preserving solution for vehicle parking services complying with EU legislation

Area of Science:

• Computer Science
• Urban Planning
• Information Security

Background:

• Modern cities increasingly adopt smart parking services for efficiency.
• Existing services raise privacy concerns comparable to traditional methods.
• Challenges include preventing ticket misuse, user tracking, and ensuring GDPR compliance.

Purpose of the Study:

• To design and implement a comprehensive smart parking system that prioritizes user privacy.
• To address multidisciplinary research challenges in privacy-preserving urban mobility.
• To ensure regulatory compliance, such as with the General Data Protection Regulation (GDPR).

Main Methods:

• Multidisciplinary research integrating regulatory examination, system design, and data processing.
• Development of privacy-preserving parking registration and vehicle parking services.
• Implementation of data processing features for analysts while maintaining user privacy.

Main Results:

• A comprehensive vehicle parking system designed with user privacy as a core feature.
• Demonstrated methods for preventing double ticket usage and user profiling.
• Experimental results validating the security and privacy-preserving capabilities of the proposed system.

Conclusions:

• The developed system offers a viable solution for privacy-preserving smart parking in urban environments.
• The research provides a framework for balancing smart city convenience with individual privacy rights.
• Further research can build upon this model to enhance urban transportation security and privacy.