# Optimized Sensors Network and Dynamical Maps for Monitoring Traffic Noise in a Large Urban Zone
## 2 State of the Art
### Related Works Relevant to the Dynamap Project
Finally, a classification of urban road traffic noise based on sound energy and eventfulness indicators, such as the IR, have been considered recently by taking into account measured sound fluctuations in a large urban zone [39]. The important issue of the assessment of transportation noise due to railways, airports, and high-noise plants have been discussed extensively. Examples include an assessment of railway noise in an urban setting, pointing to the problems the nearby living population experiences due to the railway noise pollution [40], the ADS-B (Automatic Dependent Surveillance-Broadcast) system, which has proved to be a useful tool for testing and redrawing noise management strategies at Pisa airport, producing cost-effective solutions for the airport noise management in urban areas, particularly when the radar tracks are not available [41], and a novel method to determine multiexposure priority indices tested for the Pisa action plan has been developed, called Multi Annoyance Building Prioritisation Score (MABPS), which takes into account the annoyance due to the exposure from different sources (multiexposure), showing significant differences with standard methods [42]. Of related interest is the transportation planning for quiet natural areas preservation based on aircraft overflights' noise assessment in a National Park [43]. This is connected to the more technical issue of wind turbine noise, for which a technical procedure has been suggested to simultaneously estimate the emmission and the residual noise components measured nearby a wind farm when the residual noise is mainly generated by wind, thus allowing the evaluation of the noise impact produced by operational wind farms, without requiring the farm shut down [44]. In addition, the exposure to wind turbine noise has been evaluated by means of perceptual responses and reported health effects [45]. In addition, a metric reflecting short-term temporal variations of transportation noise exposure has been discussed [46]. As a way to restore some mitigation to the environment, the so-called green wall has been studied as a sustainable tool in Mediterranean cities, such as of Limassol (Cyprus) [47]. A case study in Malaysia residential streets has been reported [48], while the impact of the ring road conclusion to the city of Guimaraes (Portugal) has been analyzed from the point of view of traffic flow variations and accessibilities [49]. Noise mapping has a long history, and we report some related recent works. In [50], the authors consider a context sensitive noise impact mapping, while, in [51], the spatial sampling for night levels estimation in urban environments is studied. The development of a practical framework for strategic noise mapping is considered in [52], while, in [4], a noise mapping in the EU is studied using models and procedures. An analysis of road traffic noise propagation is reported in [5], and strategic noise maps and action plans in Navarre (Spain) are presented in [6]. Advances in the development of common noise assessment methods in Europe, within the CNOSOS-EU framework for strategic environmental noise mapping, is discussed in [53]. A measurement network for urban noise assessment, reporting a comparison of mobile measurements and spatial interpolation approaches, is discussed in [54]. Questions on the soundscapes of a built environment are considered in [7]. A Probabilistic modeling framework for multisource sound mapping is studied in [8]. Strategic noise maps and action plans for the reduction of population exposure in a Mediterranean port city are discussed in [55]. Kriging-based spatial interpolation from measurements for sound level mapping in urban areas is studied in [56], and dynamic traffic noise maps based on noise monitoring and traffic speed data are presented in [57].