An aggregation and visualization technique for crowd-sourced continuous monitoring of transport infrastructures

Abstract

Smartphones have revolutionized the way infrastructure health monitoring applications operate. Their ubiquitous sensing and communication capabilities have made measurement data for infrastructural health monitoring applications easily available. They, however, also introduced a new challenge, namely the huge amount of data that is generated. This new reality prompts the need for efficient techniques to handle, process, aggregate, and visualize this huge amount of streaming data.