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Sensors 2017, 17(11), 2588; doi:10.3390/s17112588

An Intelligent Cooperative Visual Sensor Network for Urban Mobility

1
Institute of Information Science and Technologies, National Research Council of Italy, 56124, Pisa, Italy
2
Scuola Superiore Sant’Anna of Pisa, 56124, Pisa, Italy
*
Author to whom correspondence should be addressed.
Received: 8 October 2017 / Revised: 7 November 2017 / Accepted: 8 November 2017 / Published: 10 November 2017
(This article belongs to the Special Issue Advances in Sensors for Sustainable Smart Cities and Smart Buildings)
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Abstract

Smart cities are demanding solutions for improved traffic efficiency, in order to guarantee optimal access to mobility resources available in urban areas. Intelligent video analytics deployed directly on board embedded sensors offers great opportunities to gather highly informative data about traffic and transport, allowing reconstruction of a real-time neat picture of urban mobility patterns. In this paper, we present a visual sensor network in which each node embeds computer vision logics for analyzing in real time urban traffic. The nodes in the network share their perceptions and build a global and comprehensive interpretation of the analyzed scenes in a cooperative and adaptive fashion. This is possible thanks to an especially designed Internet of Things (IoT) compliant middleware which encompasses in-network event composition as well as full support of Machine-2-Machine (M2M) communication mechanism. The potential of the proposed cooperative visual sensor network is shown with two sample applications in urban mobility connected to the estimation of vehicular flows and parking management. Besides providing detailed results of each key component of the proposed solution, the validity of the approach is demonstrated by extensive field tests that proved the suitability of the system in providing a scalable, adaptable and extensible data collection layer for managing and understanding mobility in smart cities. View Full-Text
Keywords: visual sensor networks; real time image processing; embedded vision; IoT middleware; internet of things; intelligent transportation systems; smart cities visual sensor networks; real time image processing; embedded vision; IoT middleware; internet of things; intelligent transportation systems; smart cities
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MDPI and ACS Style

Leone, G.R.; Moroni, D.; Pieri, G.; Petracca, M.; Salvetti, O.; Azzarà, A.; Marino, F. An Intelligent Cooperative Visual Sensor Network for Urban Mobility. Sensors 2017, 17, 2588.

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