Estimation of the noise emissions generated by a single vehicle while driving

Investigation and Modeling of Transport Noise Dependence on Traffic Speed and Impact on Population Annoyance

“…Thus, it is supposed a running vehicle engine is the main source of noise in slow-moving vehicles because higher revolutions of the engine are observed at the slow motion of vehicles, which results in higher noise levels. As Cesar Asensio et al wrote in their paper there are many variables that we could list, from the type of vehicle or tire to the state of maintenance of the exhaust, the acceleration noise or horn sound, could affect measured values on site (Asensio et al, 2021). So, a rise in an average vehicle speed of up to 60 km/h shows that vehicle tires are the main source of noise that can also be affected by vehicle aerodynamics.…”

Noise Emission Models of Electric Vehicles Considering Speed, Acceleration, and Motion State

“…Can and Aumond [ 26 ] analyzed the sensitivity of estimated road traffic emissions to vehicle kinematics variables and improved the noise emission models through the introduction of additional traffic parameters. Asensio et al [ 10 ] presented a method of calculating the contribution of a specific vehicle to the overall noise pollution, which depended on the type and state of maintenance of the vehicle and road surface, the speed of the vehicle, the acceleration, and the type of driving. Pascale et al [ 27 ] modeled vehicle noise emission considering the impact of kinematic variables.…”

“…The law declares that the state must promote the system of standards for the prevention and control of noise pollution. Noise emission models are the foundation of the tools for understanding and reducing traffic noise pollution [ 4 , 5 , 6 , 7 ], e.g., dynamic traffic noise simulation [ 8 , 9 ] and traffic noise mapping [ 10 , 11 , 12 ]. Nowadays, electric vehicles (e.g., electric cars and electric buses) occupy a quite large proportion of vehicles in metropolises on account of incentive policies and the advantage of low-carbon emissions [ 13 ] and low-noise emissions [ 14 ] in contrast to internal combustion engine vehicles.…”

Predicting traffic induced noise using artificial neural network and multiple linear regression approach

“…Furthermore, unforeseen events and non-lane-based behaviour resulted in a dramatic increase in the maximum sound level as departure approaches [22]. Asensio et al (2021) proposed a method of computation that allows us to isolate the contribution of a specific vehicle to overall noise pollution in an urban setting, and they used the CNOSSOS-EU framework as a base for compatibility with the European noise mapping plan [23]. For the CBD of Ondo, Nigeria, Ibili et al (2022) investigated traffic noise levels and produced models.…”