CrowdSensing for smart mobility through a service-oriented architecture

Abstract

Crowdsensing is a powerful approach to build representations of specific aspects of reality which are of interest for citizens in smart cities, and in particular for people with special needs. In this work, we present an application of the microservice paradigm to create a mobility services platform. By exposing each part of the process as a microservice, we achieve the ability of developing applications as orchestration of available components. Moreover, we leverage the possibility of sharing data between different applications in a controlled environment.