The emergence of smart cities is set to transform transportation systems by leveraging real‐
time traffic data streams to monitor urban dynamics. This complements traditional …

The current static assessment methods for road traffic noise exposure have limitations in
representing spatiotemporal variations and only account for the noise exposure of registered …

This study introduces an agent-specific assessment method of traffic noise exposure in
agent mobility simulations. The assessment is achieved through a combination of an energy …

Predicting and assessing road traffic noise is a crucial task in urban environmental
management. To accurately predict traffic noise at signal-controlled intersections, this study …

Road traffic noise is a severe environmental hazard, to which a growing number of dwellers
are exposed in urban areas. The possibility to accurately assess traffic noise levels in a …

Using simulation and empirical data analysis, this research examines the efficacy of real-
time traffic control in smart cities. Traffic data collected in real time from strategically placed …

This study aims to identify key factors and sensitive intervals affect the school road traffic
characteristics. We collect traffic data from the parking area and the school road (400-700 …

Noise emissions from transportation remain one of the greatest environmental issues of
modern day. Inhabitants in urban environments are especially exposed, with almost 80 …