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Measuring the reliability of wheelchair user route planning based on volunteered geographic information / Pascal Neis in Transactions in GIS, vol 19 n° 2 (April 2015)  

Public [article]  inTransactions in GIS > vol 19 n° 2 (April 2015) . - pp 188 – 201 Titre : Measuring the reliability of wheelchair user route planning based on volunteered geographic information Type de document : Article/Communication Auteurs : Pascal Neis, Auteur Année de publication : 2015 Article en page(s) : pp 188 – 201 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique web [Termes IGN] accessibilité [Termes IGN] calcul d'itinéraire [Termes IGN] données localisées des bénévoles [Termes IGN] fiabilité des données [Termes IGN] handicap [Termes IGN] personne en fauteuil-roulant Résumé : (auteur) The development of a wheelchair user friendly route planning application inherits a number of special requirements and details that need to be considered during the generation of the routing graph and the corresponding algorithm, making this task much more complex than car or pedestrian related applications. Each wheelchair type and, more importantly, each individual user might have different needs with regards to the way condition or other criteria. This study proposes a new approach to route planning for wheelchair users tailored for individual and personal requirements provided by the user and the calculation of a reliability factor of the computed wheelchair path. The routing graph is based on the freely available Volunteered Geographic Information (VGI) retrieved from the OpenStreetMap (OSM) project. The newly created algorithm is evaluated and tested for a selected area in Bonn, Germany. A new reliability factor is introduced that gives direct feedback about the quality of the generated path. Similar factor estimations can also be utilized for multiple route planning applications where VGI or other commercial or administrative data is implemented and more detailed factors than a simple geometric representation of a street network are of importance. Numéro de notice : A2015-675 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1111/tgis.12087 En ligne : http://dx.doi.org/10.1111/tgis.12087 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=78300 [article]

Automatic selection of landmarks for navigation guidance / Rui Zhu in Transactions in GIS, vol 19 n° 2 (April 2015)  

Public [article]  inTransactions in GIS > vol 19 n° 2 (April 2015) . - pp 247 – 261 Titre : Automatic selection of landmarks for navigation guidance Type de document : Article/Communication Auteurs : Rui Zhu, Auteur ; Hassan A. Karimi, Auteur Année de publication : 2015 Article en page(s) : pp 247 – 261 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Navigation et positionnement [Termes IGN] calcul d'itinéraire [Termes IGN] classification par réseau neuronal [Termes IGN] entité géographique [Termes IGN] guidage de véhicules [Termes IGN] point de repère Résumé : (auteur) Although current navigation services provide significant benefits to people's mobility, the turn-by-turn instructions they provide are sometimes ineffective. These instructions require people to maintain a high level of attention and cognitive workload while performing distance or angle measurements on their own mental map. To overcome this problem, landmarks have been identified as playing a major role in turn-by-turn instructions. This requires the availability of landmarks in navigation databases. Landmarks are commonly selected manually, which involves time-consuming and tedious tasks. Automatic selection of landmarks has recently gained the attention of researchers but currently there are only a few techniques that can select appropriate landmarks. In this article, we present a technique based on a neural network model, where both static and dynamic features are used for selecting landmarks automatically. To train and test this model, two labeling approaches, manual labeling and rule-based labeling, are also discussed. Experiments on the developed technique were conducted and the results show that rule-based labeling has a precision of approximately 90%, which makes the technique suitable and reliable for automatic selection of landmarks. Numéro de notice : A2015-676 Affiliation des auteurs : non IGN Thématique : POSITIONNEMENT Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1111/tgis.12095 En ligne : http://dx.doi.org/10.1111/tgis.12095 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=78302 [article]

A GIS toolbox for measuring and mapping person-based space-time accessibility / Laure Charleux in Transactions in GIS, vol 19 n° 2 (April 2015)  

Public [article]  inTransactions in GIS > vol 19 n° 2 (April 2015) . - pp 262 – 278 Titre : A GIS toolbox for measuring and mapping person-based space-time accessibility Type de document : Article/Communication Auteurs : Laure Charleux, Auteur Année de publication : 2015 Article en page(s) : pp 262 – 278 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications SIG [Termes IGN] accessibilité [Termes IGN] indicateur [Termes IGN] interaction humain-espace [Termes IGN] milieu urbain [Termes IGN] outil informatique [Termes IGN] planification urbaine [Termes IGN] système d'information géographique [Termes IGN] Time-geography Résumé : (auteur) This article presents a toolbox to compute and map person-based accessibility indicators, based on classical time geography concepts. The intent is to provide GIS and urban planning practitioners with a user-friendly and easily customizable tool. While it relies on well-known concepts, the toolbox implements a major innovation in person-based accessibility assessment by taking into account opening hours when measuring the accessibility of urban facilities. The toolbox can be downloaded from http://bit.ly/1h6yg5Z. Numéro de notice : A2015-677 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1111/tgis.12115 En ligne : http://dx.doi.org/10.1111/tgis.12115 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=78303 [article]