Crowdsourced Mobile Sensing for Smarter City Life

Abstract

This paper introduces the ongoing project that aims to develop a mobile sensing framework to collect sensor data reflecting personal-scale, or microscopic, roadside phenomena by crowd sourcing and also using social big data, such as traffic, climate, and contents of social network services like Twitter. To collect them, smartphone applications are provided. One of the typical applications is a driving recorder that collects not only sensor data, such as acceleration, gyro, compass, and speed, but also recorded videos from the driver's view. To extract specific roadside phenomena, collected data are integrated and analyzed at the service platform. The framework also provides tools for interactive analysis to support city administration.