A Microservice-Based Architecture for the Development of Accessible, Crowdsensing-Based Mobility Platforms

Crowdsensing is a powerful approach to collaboratively build representations of specific aspects of reality which are of great interest for people with special needs. In this paper, we present an evolution of the classical, vertical approach to detect urban barriers and other features to later exploit this knowledge in accessible route planning. By exposing every single part of the process as a microservice, we achieve the ability to develop novel applications as orchestration of available components. Moreover, in the resulting platform, we leverage the possibility to share data between different applications in a controlled environment.