A Computational Architecture Based on RFID Sensors for Traceability in Smart Cities.

Area of Science:

• Smart City Technologies
• Ubiquitous Computing
• Information Systems

Background:

• Efficient city resource management requires integrating Information Technology and Communications (ICT).
• Developing systems for automatic, transparent context information acquisition is crucial for decision support.
• Existing solutions often struggle in non-controlled, heterogeneous urban environments.

Purpose of the Study:

• To present a novel distributed system for acquiring, representing, and providing data on human flow and movement in dense urban areas.
• To enable transparent and reliable user information acquisition in diverse environments.
• To support the development of smart cities through real-time, relevant data.

Main Methods:

• Design of a smart sensor network utilizing Radio-Frequency Identification (RFID) communication technologies.
• Implementation of reliability patterns and integration techniques for robust data collection.
• Development of a comprehensive solution for non-controlled and heterogeneous environments.

Main Results:

• A novel distributed system capable of acquiring, representing, and providing data on human flow and movement.
• Demonstrated transparency and reliability in user information acquisition.
• Validation of the proposed system through a case study.

Conclusions:

• The developed system effectively addresses the need for reliable people flow data in urban environments.
• This technology is foundational for informed decision-making in smart city initiatives, including transport, business, and tourism.
• The system offers a comprehensive solution for real-time data acquisition in complex settings.