Predicting Hourly Traflc Noise from Traflc Flow
Rate Model: Underlying Concepts for the
DYNAMAP Project

Smiraglia, M; Benocci, R.; Zambon, G; Roman, H. E.

doi:10.1515/noise-2016-0010

Cited by 16 publications

(15 citation statements)

References 5 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The above remarks should not be considered a weakness of the IR metric, but rather a reliable representation of the time pattern of the sonic environment and of the potential annoyance it might evoke. In addition, a comparison has been performed between the classification based on IR hourly time patterns and that provided by hourly L Aeq time patterns, the latter obtained according to the procedure detailed in [17,18]. The two classifications, as shown in Figure 13, are somewhat different, as they overlap for 64% only.…”

Section: Discussionmentioning

confidence: 99%

Application of the Intermittency Ratio Metric for the Classification of Urban Sites Based on Road Traffic Noise Events

Brambilla

Confalonieri

Benocci

2019

Sensors

View full text Add to dashboard Cite

Human hearing adapts to steady signals, but remains very sensitive to fluctuations as well as to prominent, salient noise events. The higher these fluctuations are, the more annoying a sound is possibly perceived. To quantify these fluctuations, descriptors have been proposed in the literature and, among these, the intermittency ratio (IR) has been formulated to quantify the eventfulness of an exposure from transportation noise. This paper deals with the application of IR to urban road traffic noise data, collected in terms of 1 s A-weighted sound pressure level (SPL), without being attended, monitored continuously for 24 h in 90 sites in the city of Milan. IR was computed on each hourly data of the 251 time series available (lasting 24 h each), including different types of roads, from motorways to local roads with low traffic flow. The obtained hourly IR values have been processed by clustering methods to extract the most significant temporal pattern features of IR in order to figure out a criterion to classify the urban sites taking into account road traffic noise events, which potentially increase annoyance. Two clusters have been obtained and a “non-acoustic” parameter x, determined by combination of the traffic flow rate in three hourly intervals, has allowed to associate each site with the cluster membership. The described methodology could be fruitfully applied on road traffic noise data in other cities. Moreover, to have a more detailed characterization of noise exposure, IR, describing SPL short-term temporal variations, has proved to be a useful supplementary metric accompanying LAeq, which is limited to measure the energy content of the noise exposure.

show abstract

Section: Discussionmentioning

confidence: 99%

Application of the Intermittency Ratio Metric for the Classification of Urban Sites Based on Road Traffic Noise Events

Brambilla

Confalonieri

Benocci

2019

Sensors

View full text Add to dashboard Cite

show abstract

“…The traffic noise at any road section can be predicted if knowledge of a non-acoustic parameter x is available for each road belonging within the entire road network. In our case x represents the logarithm of the total daily traffic flow, T , of a single road [27,28,29]. For instance if say, T = 3000 vehicles/day, then x = 3.5.…”

Section: Network Of Sensors and Dynamic Noise Mappingmentioning

confidence: 99%

Study of Temporal Correlations in the Urban Noise Monitoring Network of Milan, Italy

2020

International Journal of Circuits, Systems and Signal Processing

View full text Add to dashboard Cite

The European Life project, called DYNAMAP, has been devoted to provide a realimage of the noise generated by vehicular trafficin urban and suburban areas, developing a dynamic acoustic map based on a limited numberof low-cost permanent noise monitoring stations.In the urban area of Milan, the system has beenimplemented over the pilot area named Area 9.Traffic noise data, collected by the monitoringstations, each one representative of a numberof roads with similar characteristics (e.g. dailytraffic flow), are used to build-up a “real time”noise map. DYNAMAP has a statistical structure and this implies that information capturedby each sensor must be representative of an extended area, thus uncorrelated from other stations. The study of the correlations among thesensors represents a key-point in designing themonitoring network. Another important aspectregards the “contemporaneity” of noise fluctuations predicted by DYNAMAP with those effectively measured at an arbitrary location. Integration times heavily affect the result, with correlation coefficients up to 0.8-0.9 for updating timesof 1h. Higher correlations are observed when averaging over groups of roads with similar traffic flow characteristics

show abstract

“…The increase of vehicle numbers could have contributed to the change in the traffic flow rate and to noise patterns [see e.g. 33]. According to Zhu [14], noise emitted from vehicles is a very important variable to establish noise prediction models.…”

Section: Variable Selectionmentioning

confidence: 99%

Findings from measurements of noise levels in indoor and outdoor environments in an expanding urban area: a case of Tirana

Laze

2017

Noise Mapping

View full text Add to dashboard Cite

Abstract:The increasing human population and the increasing number of vehicles in Tirana, Albania, emerges the need for extensive measurements of noise levels. The 831 measurements of noise levels were taken in Tirana in November 2015 for education purposes. Measurements were collected in eight locations in indoor like a classroom in a school building environment, a library and a healthcare facility and in outdoor environments like five crossroads. Noise levels were then compared with domestic and World Health Organization (WHO) standards. The logarithmic average of noise levels and the maximum value of noise level measured for the period of measurement (LAFmax) were interpolated using Interpolated Noise Levels for Observer Points in ArcGIS producing noise level maps for crossroads. The logarithmic average of noise levels and LAFmax measurements were respectively above domestic and WHO standards in 96% and 100% of outdoor environment and indoor environment locations. Interpolated values of logarithmic average of noise levels and LAFmax for five crossroads were above domestic and WHO standards indicating noise levels in road traffic could remain high. A yearly acoustic measurement for vehicles should be implemented. Participatory measurements of noise levels in quite indoor environments can be used to increase the awareness of inhabitants in Tirana.

show abstract

Predicting Hourly Traflc Noise from Traflc Flow Rate Model: Underlying Concepts for the DYNAMAP Project

Cited by 16 publications

References 5 publications

Application of the Intermittency Ratio Metric for the Classification of Urban Sites Based on Road Traffic Noise Events

Application of the Intermittency Ratio Metric for the Classification of Urban Sites Based on Road Traffic Noise Events

Study of Temporal Correlations in the Urban Noise Monitoring Network of Milan, Italy

Findings from measurements of noise levels in indoor and outdoor environments in an expanding urban area: a case of Tirana

Contact Info

Product

Resources

About