It is well known that the quality of the acoustic environment is very often degraded by major environmental interventions such as extended motorways. Considering this, the European Union has imposed relevant legislation on its member states to monitor these environmental changes/interventions and to develop strategic noise maps and action plans, in order to protect the natural and human environment. Egnatia Odos is a major motorway that crosses northern Greece and connects the country with the main European Motorway network. In the present work, the results of an extended traffic noise measuring campaign at selected sections of the Egnatia motorway are presented, together with the strategic noise maps and calculations of the population exposure. It was concluded that, although the noise levels in the countryside were low, in the suburban areas near the city of Thessaloniki the traffic noise was reported high during both the day and night. However, the extent of the traffic noise issue was found considerably greater during night-time. The number of exceedances was rather limited, though a considerable amount of population (11.5% and 5.4% during the day and night, respectively) seems to be affected by relatively high noise levels, highlighting the importance of traffic noise monitoring.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1007/s11356-019-04966-w | DOI Listing |
The explosive growth of mobile data traffic and the demands of 6 G networks for ultra-high data rates and low latency necessitate advanced infrastructure solutions. One promising approach is the implementation of radio-over-fiber (RoF)-based distributed antenna systems (DAS), which can efficiently transmit radio frequency signals over optical fiber, especially in dense indoor environments. However, analog RoF systems face challenges, including noise, nonlinearities, and power fading caused by chromatic dispersion.
View Article and Find Full Text PDFPLoS One
January 2025
State Key Laboratory of Automotive Safety and Energy, School of Vehicle and Mobility, Tsinghua University, Beijing, China.
This study tried to focus on the older drivers' group and explore the impact factors of injury severity involving older drivers from geo-spatial analysis. To reach the goal, a spatial analysis was proposed employing geographic information systems (GIS) with a case study application to two counties in Nevada. First, crash clusters were explored using Density-Based Spatial Clustering of Applications with Noise (DBSCAN) approach to investigate the spatial crash pattern for older drivers, and determine high risk locations of injury severity.
View Article and Find Full Text PDFAntioxidants (Basel)
January 2025
Laboratory of Molecular Cardiology, Department of Cardiology 1, University Medical Center of the Johannes Gutenberg-University, 55131 Mainz, Germany.
Noise pollution is a known health risk factor and evidence for cardiovascular diseases associated with traffic noise is growing. At least 20% of the European Union's population lives in noise-polluted areas with exposure levels exceeding the recommended limits of the World Health Organization, which is considered unhealthy by the European Environment Agency. This results in the annual loss of 1.
View Article and Find Full Text PDFEnviron Monit Assess
January 2025
Department of Civil Engineering, National Institute of Technology, Mizoram, India.
Chronic exposure to traffic noise is associated with increased stress and sleep disruptions. Research on the health consequences of environmental noise, specifically traffic noise, has primarily been conducted in high-income countries (HICs), which have guided the development of noise regulations. The relevance of these findings to policy frameworks in low- and middle-income countries (LMICs) remains uncertain.
View Article and Find Full Text PDFJ Acoust Soc Am
January 2025
School of Civil and Transportation Engineering, Guangdong University of Technology, Guangzhou 510006, China.
Since traffic flow has not been generated, a traffic noise prediction model based on actual traffic state data cannot be directly applied to the planned road network. Therefore, a regional traffic noise prediction method is proposed to find the upper limit of network noise emission based on design elements. The model is developed with noise predictions of the basic road section, interrupted/continuous intersections, and regional network.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!