This article presents the development of a graphical user interface (GUI) application designed to automate an Intelligent Transportation System (ITS) workflow for estimating and monitoring population exposure to road traffic noise. The method mainly integrates two open-source tools: SUMO (Simulation of Urban Mobility) for microscopic traffic simulation and NoiseModelling for noise calculation and mapping at receiver locations according to the European CNOSSOS-EU method. Traffic outputs generated by SUMO (flows and vehicle composition by CNOSSOS categories, for road segments and time intervals) are converted into linear sound sources for the propagation model and for generating noise maps. The GUI, developed in Python, manages data import, format conversions, and tool execution, significantly simplifying the preparation and execution of the workflow. In its advanced development version, the system supports three operating modes: (1) generation of dynamic noise maps at 15 minutes intervals for near real-time monitoring; (2) scenario analysis based on historical datasets; and (3) assessments under changes in traffic flows, traffic patterns, or infrastructure/urban modifications. The work is part of the SALPIAM project (“Sustainability for the Environment and Public Health in Italian Port Cities”), in a port area pilot site (Piombino, Tuscany), and proposes a replicable open-source solution to support decisions and mitigation strategies for road traffic noise.
Dynamic noise maps based on open-source software integration: a python GUI for ITS applications using the CNOSSOS-EU method
Matteo BOLOGNESE;Mauro CERCHIAI;Diego PALAZZUOLI;Gaetano LICITRA
Ultimo
;Alexandra Lyselott MONTENEGROPenultimo
2026-01-01
Abstract
This article presents the development of a graphical user interface (GUI) application designed to automate an Intelligent Transportation System (ITS) workflow for estimating and monitoring population exposure to road traffic noise. The method mainly integrates two open-source tools: SUMO (Simulation of Urban Mobility) for microscopic traffic simulation and NoiseModelling for noise calculation and mapping at receiver locations according to the European CNOSSOS-EU method. Traffic outputs generated by SUMO (flows and vehicle composition by CNOSSOS categories, for road segments and time intervals) are converted into linear sound sources for the propagation model and for generating noise maps. The GUI, developed in Python, manages data import, format conversions, and tool execution, significantly simplifying the preparation and execution of the workflow. In its advanced development version, the system supports three operating modes: (1) generation of dynamic noise maps at 15 minutes intervals for near real-time monitoring; (2) scenario analysis based on historical datasets; and (3) assessments under changes in traffic flows, traffic patterns, or infrastructure/urban modifications. The work is part of the SALPIAM project (“Sustainability for the Environment and Public Health in Italian Port Cities”), in a port area pilot site (Piombino, Tuscany), and proposes a replicable open-source solution to support decisions and mitigation strategies for road traffic noise.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
