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.

A microservice-based architecture for the development of accessible, crowdsensing-based mobility platforms

MELIS, ANDREA;MIRRI, SILVIA;PRANDI, CATIA;PRANDINI, MARCO;SALOMONI, PAOLA
2016

Abstract

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.
2016
Proceedings - 2016 International Conference on Collaboration Technologies and Systems, CTS 2016
498
505
Melis, Andrea; Mirri, Silvia; Prandi, Catia; Prandini, Marco; Salomoni, Paola
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/584520
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