Exploring the role of spatial cognition in predicting urban traffic flow through agent-based modelling

Exploring the role of spatial cognition in predicting urban traffic flow through agent-based... •Models of route choice from transportation and cognitive science widely differ.•Transportation patterns product of bounded decision-making and cognitive models.•Exploratory agent-based models change in traffic flow induced by model selection.•Poorly validated behavioural models risk reducing policy making capabilities. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Transportation Research Part A: Policy and Practice Elsevier

Exploring the role of spatial cognition in predicting urban traffic flow through agent-based modelling

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Publisher
Elsevier
Copyright
Copyright © 2018 The Authors
ISSN
0965-8564
eISSN
1879-2375
D.O.I.
10.1016/j.tra.2018.01.020
Publisher site
See Article on Publisher Site

Abstract

•Models of route choice from transportation and cognitive science widely differ.•Transportation patterns product of bounded decision-making and cognitive models.•Exploratory agent-based models change in traffic flow induced by model selection.•Poorly validated behavioural models risk reducing policy making capabilities.

Journal

Transportation Research Part A: Policy and PracticeElsevier

Published: Mar 1, 2018

References

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