Unified InterPlanetary Smart Parking Network for Maximum End-User Flexibility.

Area of Science:

• Computer Science
• Urban Planning
• Information Security

Background:

• Current smart parking systems lack unified user interfaces, leading to dissatisfaction.
• Existing solutions rely on diverse technologies (computer vision, sensors) but fail to integrate user experience.
• A gap exists between advanced parking detection and seamless end-user access.

Purpose of the Study:

• To propose a trustless federated model for smart parking systems.
• To enhance end-user satisfaction and facilitate responsible data acquisition.
• To create an intelligent system for smart cities by integrating diverse parking programs.

Main Methods:

• Leveraging a federated identity protocol based on Zero Knowledge Cryptography (ZKC).
• Implementing a trustless federated model without a central authority.
• Utilizing InterPlanetary File System (IPFS) for decentralized data storage and retrieval.
• Employing a peer-to-peer content addressing system.

Main Results:

• Achieved a high degree of user mobility and anonymity through ZKC.
• Reduced operational costs and increased service resilience via IPFS.
• Established a decentralized network for smart parking solutions.
• Enabled independent actors to share data through a common protocol.

Conclusions:

• The proposed InterPlanetary Smart Parking Architecture (NOW-IPSPAN) bridges the gap between technology and human interface.
• This model fosters user adoption and enables diverse parking providers to offer a unified experience.
• NOW-IPSPAN facilitates the development of intelligent systems for smart cities.