TY  - CONF
AU  - Andresen, Erik
AU  - Haensel, David
AU  - Chraibi, Mohcine
AU  - Seyfried, Armin
TI  - Wayfinding and Cognitive Maps for Pedestrian Models
CY  - Cham
PB  - Springer International Publishing
M1  - FZJ-2016-07412
SP  - 249-256
PY  - 2016
AB  - Usually, routing models in pedestrian dynamics assume that agents have fulfilled and global knowledge about the building’s structure. However, they neglect the fact that pedestrians possess no or only parts of information about their position relative to final exits and possible routes leading to them. To get a more realistic description we introduce the systematics of gathering and using spatial knowledge. A new wayfinding model for pedestrian dynamics is proposed. The model defines for every pedestrian an individual knowledge representation implying inaccuracies and uncertainties. In addition, knowledge-driven search strategies are introduced. The presented concept is tested on a fictive example scenario.
T2  - Traffic and Granular Flow
CY  - 28 Oct 2015 - 30 Oct 2015, Delft (Neederlands)
Y2  - 28 Oct 2015 - 30 Oct 2015
M2  - Delft, Neederlands
LB  - PUB:(DE-HGF)8 ; PUB:(DE-HGF)7
DO  - DOI:10.1007/978-3-319-33482-0_32
UR  - https://juser.fz-juelich.de/record/824910
ER  -