Abstract
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.
Highlights
During the past decade, there is a significant number of cars circulating in the cities which makes the parking and the traffic, two serious issues
We propose the Internet of Things (IoT) Recommender (IoTRec), a smart parking system that is General Data Protection Regulation (GDPR)-compliant and considers the road traffic conditions
We first present the semantic data modeling of parking and traffic sensors data utilized by the IoTRec in the recommendations of parking spots and routes and we present an overview of our proposed IoTRec
Summary
There is a significant number of cars circulating in the cities which makes the parking and the traffic, two serious issues. We utilized the semantic IoT data of the deployed parking and traffic sensors as presented in Fig. 1 for the recommendation of available parking spots and the best routes based on some metrics. We first present the semantic data modeling of parking and traffic sensors data utilized by the IoTRec in the recommendations of parking spots and routes and we present an overview of our proposed IoTRec. To allow the drivers to analyze the expected availability (occupancy statistics) of parking areas (parking spots organized into groups) in a user-friendly interface and to select a parking area, we develop and present the statistics of Santander’s parking areas.
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