Publicación Artículo científico (article).

Accessible routes integrating data from multiple sources

Investigo. Repositorio Institucional de la Universidade de Vigo
oai:www.investigo.biblioteca.uvigo.es:11093/1708
Investigo. Repositorio Institucional de la Universidade de Vigo
  • Luaces, Miguel R.
  • Fisteus, Jesús A.
  • Sánchez Fernández, Luis
  • Munoz Organero, Mario
  • Balado Frías, Jesús
  • Díaz Vilariño, Lucía
  • Lorenzo Cimadevila, Henrique Remixio
Providing citizens with the ability to move around in an accessible way is a requirement for all cities today. However, modeling city infrastructures so that accessible routes can be computed is a challenge because it involves collecting information from multiple, large-scale and heterogeneous data sources. In this paper, we propose and validate the architecture of an information system that creates an accessibility data model for cities by ingesting data from different types of sources and provides an application that can be used by people with different abilities to compute accessible routes. The article describes the processes that allow building a network of pedestrian infrastructures from the OpenStreetMap information (i.e., sidewalks and pedestrian crossings), improving the network with information extracted obtained from mobile-sensed LiDAR data (i.e., ramps, steps, and pedestrian crossings), detecting obstacles using volunteered information collected from the hardware sensors of the mobile devices of the citizens (i.e., ramps and steps), and detecting accessibility problems with software sensors in social networks (i.e., Twitter). The information system is validated through its application in a case study in the city of Vigo (Spain)., Ministerio de Economía, Industria y Competitividad | Ref. TIN2016-77158-C4-1-R, Ministerio de Economía, Industria y Competitividad | Ref. TIN2016-77158- C4-2-R, Ministerio de Economía, Industria y Competitividad | Ref. TIN2016-77158-C4-3-R, Agencia Estatal de Investigación | Ref. PID2019-105221RB-C41, Agencia Estatal de Investigación | Ref. PID2019-105221RB-C43, Agencia Estatal de Investigación | Ref. PID2019-105221RB-C44, Xunta de Galicia | Ref. ED431C 2017/58, Xunta de Galicia | Ref. IN852A 2018/14, Xunta de Galicia | Ref. ED431G 2019/01, Xunta de Galicia | Ref. ED481B-2019-061, Xunta de Galicia | Ref. ED481D 2019/020
 

DOI: http://hdl.handle.net/11093/1708, https://www.mdpi.com/2220-9964/10/1/7
Investigo. Repositorio Institucional de la Universidade de Vigo
oai:www.investigo.biblioteca.uvigo.es:11093/1708

HANDLE: http://hdl.handle.net/11093/1708, https://www.mdpi.com/2220-9964/10/1/7
Investigo. Repositorio Institucional de la Universidade de Vigo
oai:www.investigo.biblioteca.uvigo.es:11093/1708
 
Ver en: http://hdl.handle.net/11093/1708, https://www.mdpi.com/2220-9964/10/1/7
Investigo. Repositorio Institucional de la Universidade de Vigo
oai:www.investigo.biblioteca.uvigo.es:11093/1708

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