Individualized Hiking Time Estimation

Détails

ID Serval
serval:BIB_8BFBF407C65B
Type
Actes de conférence (partie): contribution originale à la littérature scientifique, publiée à l'occasion de conférences scientifiques, dans un ouvrage de compte-rendu (proceedings), ou dans l'édition spéciale d'un journal reconnu (conference proceedings).
Collection
Publications
Titre
Individualized Hiking Time Estimation
Titre de la conférence
2012 23rd International Workshop on Database and Expert Systems Applications
Auteur(s)
Pitman A., Zanker M., Gamper J., Andritsos P.
Editeur
IEEE
Adresse
Vienna, Austria
ISBN
9781467326216
ISSN
1529-4188
Statut éditorial
Publié
Date de publication
09/2012
Peer-reviewed
Oui
Langue
anglais
Résumé
Route planning algorithms attempt to find the optimum path between two nodes in a graph, where a cost function specifies a weight for each edge. In many situations cost is related to distance or time. While time estimates are rather straightforward for automotive applications, real-world route planning for hiking and other outdoor activities requires careful consideration of a variety of different factors in order to produce reliable time estimates. Static estimates such as Naismith's Rule for estimating hike times do not consider individual factors such as a hiker's fitness or current progress along the trail. In this paper we address these aspects and develop a model for individual weight estimation that can be exploited in route planning applications. An evaluation conducted on GPS traces from hikes in South Tyrol, Italy indicates that the model can outperform Naismith's estimate by up to 23%.
Création de la notice
22/08/2017 16:07
Dernière modification de la notice
03/03/2018 19:12
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