Blog by the Media Technologies research group (GTM). Researching interactions between humans, machines and their environments.

14 January 2019 | Posted by Editorial Team GTM

The real-time dynamic maps of the DYNAMAP project are now available online

The LIFE+ DYNAMAP project is aimed to develop a low-cost sensor network for real-time dynamic noise monitoring. After more than 4 years of intense work, the noise maps for the monitored areas have been published covering a significant portion of the Milan city and the A90 ring-road of Rome. Both are available online, where the user can find the traffic noise impact of each pilot area represented in the Harmonica Index. The Harmonica Noise Index represents the perceived noise disturbance on a scale ranging from 0 (no disturbance) to 10 (maximum disturbance).

The Research group on Media Technologies (GTM) has actively participated in the design and implementation of the Anomalous Noise Event Detector (ANED), an algorithm that has been trained to detect if an input acoustic events belongs to regular traffic noise or not. By means of this approach based on several machine learning techniques, the deployed sensor network is able to remove those anomalous events non-related to traffic to tailor and update a reliable road-traffic noise map for each pilot area.

More information about the DYNAMAP project can be found in https://doi.org/10.1515/noise-2018-0006

Alías, F., Alsina-Pagès, R. M., Orga, F., & Socoró, J. C. (2018). Detection of Anomalous Noise Events for Real-Time Road-Traffic Noise Mapping: The Dynamap’s project case study. Noise Mapping, (1), 71-85.

More information about the ANED algorithm can be found in https://doi.org/10.3390/s17102323

Socoró, J. C., Alías, F., & Alsina-Pagès, R. M. (2017). An anomalous noise events detector for dynamic road traffic noise mapping in real-life urban and suburban environments. Sensors, 17 (10), 2323.

This project is being conducted in cooperation with ANAS, Bicocca (University of Milan), Accon, Amat and the Milan Municipality.

This research has been partially funded by the European Commission under project LIFE DYNAMAP LIFE13 ENV/IT/001254.

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