Tackling Travel Behaviour: An approach based on Fuzzy Cognitive Maps

DOI

10.1080/18756891.2013.816025How to use a DOI?

Keywords

Travel Behaviour, Fuzzy Cognitive Maps, Particle Swarm Optimisation, Clustering, Aggregation

Abstract

Although the individuals' transport behavioural modelling is a complex task, it can produce a notable social and economic impact. In this paper, Fuzzy Cognitive Maps are explored to represent the behaviour and operation of such complex systems. An automatic approach to extract mental representations from individuals and convert them into computational structures is defined. For the creation of knowledge bases the use of Knowledge Engineering is accounted and later on the data is transferred into structures based on Fuzzy Cognitive Maps. Once the maps are created, their performances get improved through the use of a Particle Swarm Optimisation algorithm as a learning method, readjusting its predicting capacity from stored scenarios, where individuals left their preferences in front of random situations. Another important result is clustering the maps for knowledge discovery. This permits to find useful groups of individuals that policymakers can use for simulating new rules and policies. After related maps are identified, to merge them as a unique structure could benefit for different usages. Therefore an aggregating procedure is elaborated for this task, constituting an alternative approach for selecting a centroid of a specific estimated group, and therefore having, in only one structure, the knowledge and behavioural acting from a collection of individuals. Learning, clustering and aggregation of Fuzzy Cognitive Maps are combined in a cascade experiment, with the intention of describing travellers’ behaviour and change trends in different abstraction levels. The results of this approach will help transportation policy decision makers to understand the people's needs in a better way, consequently will help them actualising different policy formulations and implementations.

Copyright

© 2017, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - JOUR
AU  - Maikel León
AU  - Gonzalo Nápoles
AU  - Rafael Bello
AU  - Lusine Mkrtchyan
AU  - Benoît Depaire
AU  - Koen Vanhoof
PY  - 2013
DA  - 2013/11/01
TI  - Tackling Travel Behaviour: An approach based on Fuzzy Cognitive Maps
JO  - International Journal of Computational Intelligence Systems
SP  - 1012
EP  - 1039
VL  - 6
IS  - 6
SN  - 1875-6883
UR  - https://doi.org/10.1080/18756891.2013.816025
DO  - 10.1080/18756891.2013.816025
ID  - León2013
ER  -