Using Models Based on Cognitive Theory to Predict Human Behavior in Traffic: A Case Study

Schumann, J.F., Srinivasan, A.R. orcid.org/0000-0001-9280-7837, Kober, J. et al. (2 more authors) (2023) Using Models Based on Cognitive Theory to Predict Human Behavior in Traffic: A Case Study. In: Proceedings of 2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC). 2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC), 24-28 Sep 2023, Bilbao, Spain. IEEE , pp. 5870-5875. ISBN 979-8-3503-9947-9

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Item Type: Proceedings Paper
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This is an author produced version of a conference paper published in Proceedings of 2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC), made available under the terms of the Creative Commons Attribution License (CC-BY), which permits unrestricted use, distribution and reproduction in any medium, provided the original work is properly cited.

Keywords: autonomous vehicles, gap acceptance, behavior prediction, cognitive theory
Dates:
  • Published: 13 February 2023
  • Published (online): 13 February 2023
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Environment (Leeds) > Institute for Transport Studies (Leeds) > ITS: Safety and Technology (Leeds)
Funding Information:
Funder
Grant number
EPSRC (Engineering and Physical Sciences Research Council)
EP/S005056/1
Depositing User: Symplectic Publications
Date Deposited: 21 Jun 2024 10:21
Last Modified: 23 Jun 2024 01:29
Status: Published
Publisher: IEEE
Identification Number: 10.1109/ITSC57777.2023.10421837
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