SwarmCity Project: Can an Aerial Swarm Monitor Traffic in a Smart City?

Roldán Gómez, Juan Jesús and García Auñón, Pablo and Peña Tapia, Elena and Barrientos Cruz, Antonio (2019). SwarmCity Project: Can an Aerial Swarm Monitor Traffic in a Smart City?. In: "2019 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops)", 11-15 March, 2019, Kyoto, Japan. ISBN 978-1-5386-9151-9. pp. 862-867. https://doi.org/10.1109/PERCOMW.2019.8730677.

Description

Title: SwarmCity Project: Can an Aerial Swarm Monitor Traffic in a Smart City?
Author/s:
  • Roldán Gómez, Juan Jesús
  • García Auñón, Pablo
  • Peña Tapia, Elena
  • Barrientos Cruz, Antonio
Item Type: Presentation at Congress or Conference (Article)
Event Title: 2019 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops)
Event Dates: 11-15 March, 2019
Event Location: Kyoto, Japan
Title of Book: 2019 IEEE International Conference on Pervasive Computing and Communications (PerCom Workshops)
Título de Revista/Publicación: IEEE International Conference on Pervasive Computing and Communications Workshop
Date: 2019
ISBN: 978-1-5386-9151-9
ISSN: 978-1-5386-9151-9
Subjects:
Freetext Keywords: Smart City; Robot swarm; Traffic monitoring; Data processing
Faculty: E.T.S.I. Industriales (UPM)
Department: Automática, Ingeniería Eléctrica y Electrónica e Informática Industrial
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

Smart Cities have emerged as a strategy to solve problems that current cities face, such as traffic, resource management, waste, pollution, etc. Most of the Smart City proposals are based on placing sensors in fixed locations of the city or, at the most, in public transportation systems. These strategies can produce blind zones, given that the sensors are fixed or their movement cannot be controlled. The SwarmCity Project proposes the use of an aerial swarm to monitor the city state, including traffic, crowds, climate and pollution. This paper is focused on traffic and tries to answer the question: “Can an aerial swarm monitor the traffic in a Smart City?”. The work presents a data processing algorithm developed and optimized to fuse the data provided by the drones and build maps of traffic in real time. The proposed method is integrated with a surveillance algorithm and tested under different conditions in a city simulator. The results demonstrate the viability of SwarmCity Project and the potential use of aerial swarms as tools to collect data and model traffic in Smart Cities.

Funding Projects

TypeCodeAcronymLeaderTitle
Madrid Regional GovernmentS2013/MIT-2748RoboCity2030-III-CMUnspecifiedUnspecified
Government of SpainDPI2014-56985-RUnspecifiedUnspecifiedProtección robotizada de infraestructuras críticas

More information

Item ID: 64184
DC Identifier: http://oa.upm.es/64184/
OAI Identifier: oai:oa.upm.es:64184
DOI: 10.1109/PERCOMW.2019.8730677
Official URL: http://www.percom.org/Previous/ST2019/home.html
Deposited by: Memoria Investigacion
Deposited on: 16 Oct 2020 15:20
Last Modified: 16 Oct 2020 15:20
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