Anzeige
Erschienen in:
2016 | OriginalPaper | Buchkapitel
A Unified Pedestrian Routing Model Combining Multiple Graph-Based Navigation Methods
verfasst von : Peter M. Kielar, Daniel H. Biedermann, Angelika Kneidl, André Borrmann
Erschienen in: Traffic and Granular Flow '15
Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.
Wählen Sie Textabschnitte aus um mit Künstlicher Intelligenz passenden Patente zu finden. powered by
Markieren Sie Textabschnitte, um KI-gestützt weitere passende Inhalte zu finden. powered by
Abstract
The navigation behaviour of pedestrians in street networks can be forecast by computer simulations based on routing models. These models characterise pedestrians’ route choices regarding a variety of factors. However, the spatial cognition aspects are often omitted in routing models; thus, the diversity of predictable routes is limited. Here, we present a unified routing model that describes route choices of pedestrians by integrating the spatial cognitive aspects of allocentric-based and egocentric-based navigation. We achieved this by combining graph-based routing methods, each formalising a single spatial cognitive aspect. In addition, we present a generic calibration method for our model. For validation, we show that our model is able to correctly predict the routing behaviour of pedestrians in a case study.