Abstract

The project LIFE E-VIA aims to tackle noise pollution from road traffic noise, in a future perspective involving a consistent portion of electric and hybrid vehicles. By combining knowledge of road optimization and tyre development, it will test an optimized solution for reducing noise in urban areas and Life Cycle Cost with respect to actual best practices. The project includes three preparatory actions, consisting of state-of-the-art studies on the components implicated in the issue: the electric vehicles (EVs), the quiet pavement technologies and the tyre role in the context of EVs vs. conventional vehicles. This report refers to project action A1 and provides an overview of the concern of electric vehicles and of their noise emission. It intends to highlight the key aspects to be taken into consideration in order to achieve the most effective and relevant implementation work, in the light of the latest technical and scientific knowledge. In the shift from conventional mobility to electromobility, the present study deals with: the electric vehicle fleet characteristics, the changed driving behaviours induced by the vehicle specificities, the different noise source features with a sharp focus on rolling noise, the changes in the noise perception by the citizens and the consideration of electric vehicles in the noise prediction methods.

Abstract

"jats:p"Compared to homogeneous traffic flow, traffic speed variation is drastic with the involvement of heterogeneity. With an intent of studying the negative upshot of fluctuating speeds of heterogeneous traffic on the environment, the current paper is the outcome of the research done on various highways located in the states of Andhra Pradesh and Telangana in India, with an objective of developing a comprehensive noise prediction model by taking into account the traffic and roadway factors. Quantified noise levels [Leq (dBA) and L10 (dBA)] revealed that for the traffic speed variation of 10 to 95 kmph, the traffic noise levels were significantly affected by the variations in the proportion of the vehicle. On a specific note, the proposed model can be effectively used for the highway traffic noise prediction especially for the heterogeneous traffic, as the difference between the measured and predicted noise levels are within 1 to 10 dB (A). Document type: Article