Predicting parking occupancy in a sensor-enabled smart city
published: March 31, 2014, recorded: March 2014, views: 3014
Report a problem or upload filesIf you have found a problem with this lecture or would like to send us extra material, articles, exercises, etc., please use our ticket system to describe your request and upload the data.
Enter your e-mail into the 'Cc' field, and we will keep you updated with your request's status.
The “smart city” concept is becoming more and more popular for several reasons. Among them is the common understanding that urbanization should be sustainable in terms of quality of life for the citizens, financial viability, protection of the environment, etc. Key enablers for realizing this concept are the Internet of Things, M2M communications, and efficient and intelligent data management methods. In this presentation we describe experimentation with a large dataset of parking data in one of the largest smart city testbeds in the world: Santander. The work was performed in the context of the SmartSantander project and resulted in a novel parking prediction service.
Download slides: dataforum2014_tsetsos_parking_occupancy_01.pdf (880.8 KB)
Link this pageWould you like to put a link to this lecture on your homepage?
Go ahead! Copy the HTML snippet !