EAgLE: Equivalent Acoustic Level Estimator Proposal.

ABSTRACT: Road infrastructures represent a key point in the development of smart cities. In any case, the environmental impact of road traffic should be carefully assessed. Acoustic noise is one of the most important issues to be monitored by means of sound level measurements. When a large measurement campaign is not possible, road traffic noise predictive models (RTNMs) can be used. Standard RTNMs present in literature usually require in input several information about the traffic, such as flows of vehicles, percentage of heavy vehicles, average speed, etc. Many times, the lack of information about this large set of inputs is a limitation to the application of predictive models on a large scale. In this paper, a new methodology, easy to be implemented in a sensor concept, based on video processing

SUBMITTER: Guarnaccia C 

PROVIDER: S-EPMC7038443 | biostudies-literature | 2020 Jan

REPOSITORIES: biostudies-literature