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Sensors 2017, 17(5), 953; doi:10.3390/s17050953

Consensus-Based Cooperative Control Based on Pollution Sensing and Traffic Information for Urban Traffic Networks

Centre for Automation and Robotics (CSIC—UPM), Ctra. Campo Real Km. 0.2, Arganda del Rey, 28500 Madrid, Spain
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Academic Editors: Stefano Mariani, Francesco Ciucci, Dirk Lehmhus, Thomas Messervey, Alberto Vallan and Stefan Bosse
Received: 6 February 2017 / Revised: 30 March 2017 / Accepted: 21 April 2017 / Published: 26 April 2017
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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. The presence of air pollution in cities is not only caused by road traffic but there are other pollution sources that contribute to increase or decrease the pollution level. Due to the distributed and heterogeneous nature of the different components involved, a system of systems engineering approach is applied to design a consensus-based control algorithm. The designed control strategy contains a consensus-based component that uses the information shared in the network for reaching a consensus in the state of TLC network components. Discrete event systems specification is applied for modelling and simulation. The proposed solution is assessed by simulation studies with very promising results to deal with simultaneous responses to both pollution levels and traffic flows in urban traffic networks. View Full-Text
Keywords: air pollution monitoring; cooperative systems; discrete event systems; traffic sensing; urban traffic network air pollution monitoring; cooperative systems; discrete event systems; traffic sensing; urban traffic network
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MDPI and ACS Style

Artuñedo, A.; del Toro, R.M.; Haber, R.E. Consensus-Based Cooperative Control Based on Pollution Sensing and Traffic Information for Urban Traffic Networks. Sensors 2017, 17, 953.

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