IoTRec: The IoT Recommender for Smart Parking System

Yasir Saleem, Pablo Sotres, Samuel Fricker, Carmen Lopez de la Torre, Noel Crespi, Gyu Myoung Lee, Roberto Minerva, Luis Sanchez

Research output: Contribution to journalArticlepeer-review

8 Citations (SciVal)


This article proposes a General Data Protection Regulation (GDPR)-compliant Internet of Things (IoT) Recommender (IoTRec) system, developed in the framework of H2020 EU-KR WISE-IoT (Worldwide Interoperability for Semantic IoT) project, which provides the recommendations of parking spots and routes while protecting users' privacy. It provides recommendations by exploiting the IoT technology (parking and traffic sensors). The IoTRec provides four-fold functions. First, it helps the user to find a free parking spot based on different metrics (such as the nearest or nearest trusted parking spot). Second, it recommends a route (the least crowded or the shortest route) leading to the recommended parking spot from the user's current location. Third, it provides the real-time provision of expected availability of parking areas (comprised of parking spots organized into groups) in a user-friendly manner. Finally, it provides a GDPR-compliant implementation for operating in a privacy-aware environment. The IoTRec is integrated into the smart parking use case of the WISE-IoT project and is evaluated by the citizens of Santander, Spain through a prototype, but it can be applied to any IoT-enabled locality. The evaluation results show the citizen's satisfaction with the quality, functionalities, ease of use and reliability of the recommendations/services offered by the IoTRec.

Original languageEnglish
Pages (from-to)280-296
Number of pages17
JournalIEEE Transactions on Emerging Topics in Computing
Issue number1
Early online date06 Aug 2020
Publication statusPublished - 01 Jan 2022
Externally publishedYes


  • GDPR
  • Internet of Things (IoT)
  • parking statistics
  • recommendations
  • smart parking


Dive into the research topics of 'IoTRec: The IoT Recommender for Smart Parking System'. Together they form a unique fingerprint.

Cite this