Abstract
The digitization of our road and traffic systems enables evermore advanced location based services to support us in our everyday tasks with prominent examples being navigation applications like Google Maps or speed camera directories like TomTom Speed Cameras. The information collection that lies at the base of these applications however is often either done behind closed doors, or relies on the ...
Abstract
The digitization of our road and traffic systems enables evermore advanced location based services to support us in our everyday tasks with prominent examples being navigation applications like Google Maps or speed camera directories like TomTom Speed Cameras. The information collection that lies at the base of these applications however is often either done behind closed doors, or relies on the goodwill and time investment of voluntary community members providing such information as best they can. In this paper we present a new crowdsourcing architecture for voluntary road and traffic system data collection, that on the one hand values and protects the privacy of the participating community members and on the other hand significantly eases their manual workload by detecting and inferring applicable information through the sensors of their mobile phones using a self-created Android application. Our approach shows reliable results for the road system properties we defined. We propose an enhancement for the route navigation process by including the acquired road information.
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