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Mobile Information Systems
Volume 2016, Article ID 2821680, 14 pages
Research Article

A Service-Oriented Approach to Crowdsensing for Accessible Smart Mobility Scenarios

1Department of Computer Science and Engineering, University of Bologna, Bologna, Italy
2Department of Electrical and Information Engineering, University of Bologna, Bologna, Italy

Received 20 May 2016; Accepted 1 September 2016

Academic Editor: Enrico Natalizio

Copyright © 2016 Silvia Mirri et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


This work presents an architecture to help designing and deploying smart mobility applications. The proposed solution builds on the experience already matured by the authors in different fields: crowdsourcing and sensing done by users to gather data related to urban barriers and facilities, computation of personalized paths for users with special needs, and integration of open data provided by bus companies to identify the actual accessibility features and estimate the real arrival time of vehicles at stops. In terms of functionality, the first “monolithic” prototype fulfilled the goal of composing the aforementioned pieces of information to support citizens with reduced mobility (users with disabilities and/or elderly people) in their urban movements. In this paper, we describe a service-oriented architecture that exploits the microservices orchestration paradigm to enable the creation of new services and to make the management of the various data sources easier and more effective. The proposed platform exposes standardized interfaces to access data, implements common services to manage metadata associated with them, such as trustworthiness and provenance, and provides an orchestration language to create complex services, naturally mapping their internal workflow to code. The manuscript demonstrates the effectiveness of the approach by means of some case studies.