Urban Noise Computing for Event Discovery

Prajakta Joglekar, Vrushali Kulkarni


Urban computing is a wide area for research, which
has picked up momentum after the introduction of Smart City
vision. Smart City initiative aims to improve the quality of life
of its citizens by building a strong and resilient framework for
the city. Noise pollution is one of the main problems affecting
citizens all over. Citizen science, when combined with Mobile
crowdsensing and Data mining can help researchers and town
planners to collect urban noise data at a massive spatio-temporal
scale, and analyse it to understand urban dynamics. This work is
an effort to use urban noise computing to detect anomalies and
interesting events happening in the city. The paper introduces
the readers to the basics of Urban noise computing. It covers a
comprehensive literature survey in the area of Urban noise computing and Anomaly detection. This work also includes problem
statement, problem modelling and partial implementation details.

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