Home // International Journal On Advances in Intelligent Systems, volume 12, numbers 3 and 4, 2019 // View article
Authors:
Paloma Cáceres
Almudena Sierra-Alonso
Belén Vela
José María Cavero
Miguel A. Garrido
Carlos E. Cuesta
Keywords: Public transport; accessibility; linked open datasets; normalization; RML.
Abstract:
Smart mobility is a major component of smart city initiatives and is focused on improving citizens' mobility. One of the policies employed to increase mobility is that of promoting the use of public transport. But if this use is to be made extensive, it is necessary to make transport much more inclusive and accessible. Providing applications that guide citizens as they travel around the city on public transport is not something new, but it often occurs that these applications do not have information regarding accessibility that will allow users to establish routes according to their needs. One of the origins of this situation is that these public transport accessibility data are not easy to find or use in order to develop applications that address this issue. Moreover, in many cases the information is not updated in real time. In this work, we present a smart data framework that is capable of managing accessibility data related to public transport and gathering information about incidents in the transport network in real time. These data are annotated semantically and published as open data using automatic transformations defined with the RDF modelling language, thus making data immediately available for the calculation of new accessible routes.
Pages: 191 to 202
Copyright: Copyright (c) to authors, 2019. Used with permission.
Publication date: December 30, 2019
Published in: journal
ISSN: 1942-2679