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Author
Date
2018-02Type
- Master Thesis
ETH Bibliography
yes
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Abstract
Routing is an essential process for pedestrian Agent-Based Modelling (ABM). ABM is
a computational tool to model and analyse human behaviour. The process of routing
is well-studied in both Computer Science and Cognitive Science. However, routing
in ABM is often taken for granted and both its impact and its implementation are
disregarded. In this work, I unpack the blackbox of routing in ABM and take insights
from Cognitive Science to improve the realism of routing.
In particular, I focus on the agent’s mental representation of the environment and
typical errors in encoding this information. I propose to deviate from classical Computer
Science paradigm of optimality to capture human behaviour more accurately. The
resulting model produces routes that are less prone to typical computational artefacts
such as ziggzagging, i. e. turning more often than humans would, and bottlenecks, i. e.
always routing through one particular node because it is minimally more efficient. Show more
Permanent link
https://doi.org/10.3929/ethz-b-000291815Publication status
publishedPublisher
ETH ZurichSubject
Agent-based modelling; Spatial Cognition; Cognitive Science; RoutingOrganisational unit
03784 - Helbing, Dirk / Helbing, Dirk
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ETH Bibliography
yes
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