Dynamic noise mapping

  • What it is

    Mobility experience with a research focus

  • Who it’s for

    Master students involved in the final research; PhD sandwich; Post Doc

Department

Department of Physics

Main research activities/topics/projects

Physics Department in collaboration with Environmental protection Agency is studying innovative techiniques to implement noise mapping in urba areas according to the CNOSSOS method issued by 49/2002/CE Directive. Noise modelling is carried out by means of commercial software (Soundplan) but also using open source software. Dynamic noise mapping is developed using:

  • traffic flow cameras and AI software to categorize vehicles;
  • appropriate sound power for each kind of vehicle; big data by Google API to estimate traffic flow by arrival times to cover lacking data;
  • big data by Google API to estimate traffic flow by arrival times to cover lacking data;
  • traffic flow open source simulation model, as SUMO, to produce a georeferenzied traffic flow map.

 Working language

English

Special entry requirements

Knowledge of noise modelling and noise measurements.

Duration in months (min-max)

Master Research: 3-6
PhD sandwich: 6-12
Post Doc: 6-6

Contacts

Main scientific contact person

Francesco Fidecaro

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Other scientific contact person

Gaetano Licitra

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