Consensus-Based Cooperative Control Approach Applied to Urban Traffic Networks

Artuñedo García, Antonio and Toro Matamoros, Raúl Mario del and Haber Guerra, Rodolfo E. (2017). Consensus-Based Cooperative Control Approach Applied to Urban Traffic Networks. "Sensors", v. 17 (n. 5); pp. 1-16. ISSN 1424-8220. https://doi.org/10.3390/s17050953.

Description

Title: Consensus-Based Cooperative Control Approach Applied to Urban Traffic Networks
Author/s:
  • Artuñedo García, Antonio
  • Toro Matamoros, Raúl Mario del
  • Haber Guerra, Rodolfo E.
Item Type: Article
Título de Revista/Publicación: Sensors
Date: 2017
ISSN: 1424-8220
Volume: 17
Subjects:
Faculty: Centro de Automática y Robótica (CAR) UPM-CSIC
Department: Otro
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

Nowadays many studies are being conducted to develop solutions for improving the performance of urban traffic networks. One of the main challenges is the necessary cooperation among different entities such as vehicles or infrastructure systems and how to exploit the information available through networks of sensors deployed as infrastructures for smart cities. In this work an algorithm for cooperative control of urban subsystems is proposed to provide a solution for mobility problems in cities. The interconnected traffic lights controller (TLC) network adapts traffic lights cycles, based on traffic and air pollution sensory information, in order to improve the performance of urban traffic networks

Funding Projects

TypeCodeAcronymLeaderTitle
Horizon 2020692480IoSenseNFINEON TECHNOLOGIES DRESDEN GMBH& CO KGFlexible FE/BE Sensor Pilot Line for the Internet of Everything
Government of SpainRTC-2015-3942-4 TCAPUnspecifiedUnspecifiedUnspecified

More information

Item ID: 52851
DC Identifier: https://oa.upm.es/52851/
OAI Identifier: oai:oa.upm.es:52851
DOI: 10.3390/s17050953
Official URL: https://www.mdpi.com/1424-8220/17/5/953
Deposited by: Memoria Investigacion
Deposited on: 26 Aug 2022 06:54
Last Modified: 26 Aug 2022 06:54
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