Home // SMART ACCESSIBILITY 2019, The Fourth International Conference on Universal Accessibility in the Internet of Things and Smart Environments // View article
Authors:
Paloma Cáceres
Carlos E. Cuesta
Almudena Sierra-Alonso
Belén Vela
José María Cavero
Miguel A. Garrido
Keywords: Public transport; smart city; accessibility; incident management; crowdsourcing; linked open datasets.
Abstract:
Smart cities initiatives introduce the challenge of a more inclusive society that provides equal opportunities. Nevertheless, there are not many systems or apps designed to generate routes in the public transport for people with special needs. For instance, Google Maps is often used to calculate routes and find points of interest. However, it does not provide detailed information regarding specific facilities such as accessibility in transit. Even worse, it is not easy to find, to download or even to process specific and detailed accessibility information, in order to develop services for users. In this paper, we propose a smart data framework able to manage accessibility data in public transport and provide such user-level services. Moreover, this framework is also able to deal with real-time information by gathering notifications about incidents in the transport network. These data are obtained in a crowdsourcing process, and provides live updates for information, so that they can be used to recalculate accessible routes. In order to illustrate the process, we describe a case study with which we validate the framework, consisting of a smart app to generate accessible subway routes and to notify accessibility incidents.
Pages: 26 to 32
Copyright: Copyright (c) IARIA, 2019
Publication date: February 24, 2019
Published in: conference
ISSN: 2519-8378
ISBN: 978-1-61208-691-0
Location: Athens, Greece
Dates: from February 24, 2019 to February 28, 2019