Heterogeneous Cartographical Datasets Handling for Personalized Urban Pedestrian Routing. The ARGUS Use Case for Blind and Visually Impaired.
Abstract
Route planning services for visually impaired people need precise information of the paths and obstacles of all kind that can be found while walking. The ARGUS project is presented, whose objective is guiding people with visual impairments by using binaural sounds, and offering personalized routing services. The spatial datasets used are heterogeneous. A base routable network for five European cities was prepared from OpenStreetMap, and in two of them, a more detailed cartography was included. In addition, ARGUS users can upload, categorize and share new points of interest and tracks. Users are encouraged to set their preferences according to which type of street elements they find helpful, hazardous or neutral, for a personalized route calculation. Therefore, this work describes the methodology used for handling all the spatial datasets involved. The paper would also like to put the focus on a growing interest about quality digital cartographical data for pedestrian use.
BIB_text
author = {Harbil Arregui, Patrick Krejci, Estíbaliz Loyo, Oihana Otaegui},
title = {Heterogeneous Cartographical Datasets Handling for Personalized Urban Pedestrian Routing. The ARGUS Use Case for Blind and Visually Impaired.},
pages = {76-85},
volume = {I},
keywds = {
Cartography, routing, GIS
}
abstract = {
Route planning services for visually impaired people need precise information of the paths and obstacles of all kind that can be found while walking. The ARGUS project is presented, whose objective is guiding people with visual impairments by using binaural sounds, and offering personalized routing services. The spatial datasets used are heterogeneous. A base routable network for five European cities was prepared from OpenStreetMap, and in two of them, a more detailed cartography was included. In addition, ARGUS users can upload, categorize and share new points of interest and tracks. Users are encouraged to set their preferences according to which type of street elements they find helpful, hazardous or neutral, for a personalized route calculation. Therefore, this work describes the methodology used for handling all the spatial datasets involved. The paper would also like to put the focus on a growing interest about quality digital cartographical data for pedestrian use.
}
date = {2014-06-15},
year = {2014},
}
