Lambert, E, Romano, R orcid.org/0000-0002-2132-4077 and Watling, D orcid.org/0000-0002-6193-9121 (2019) Optimal path planning with clothoid curves for passenger comfort. In: Proceedings of the 5th International Conference on Vehicle Technology and Intelligent Transport Systems (VEHITS 2019). 5th International Conference on Vehicle Technology and Intelligent Transport Systems (VEHITS 2019), 03-05 May 2019, Heraklion, Greece. SciTePress , pp. 609-615. ISBN 9789897583742
Abstract
Highly automated vehicles operating at SAE automation level 4 and 5 will not require the occupants’ attention to be on the road at all. They will be free to amuse themselves as passengers. This will have the side effect of making them more vulnerable to motion sickness. Automated vehicles must plan paths which are feasible for the vehicle and comfortable for its occupants. In railway and highway design, paths with clothoid based transitions provide feasibility and comfort. This paper proposes a method for generating such a path using constrained non-linear optimization and compares it to an existing method based on root finding.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2019, by SCITEPRESS – Science and Technology Publications, Lda. All rights reserved. Reproduced in accordance with the publisher's self-archiving policy. |
Keywords: | Passenger Comfort, Clothoid, Path Planning, Automated Vehicle |
Dates: |
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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) The University of Leeds > Faculty of Environment (Leeds) > Institute for Transport Studies (Leeds) > ITS: Spatial Modelling and Dynamics (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 10 Sep 2019 12:56 |
Last Modified: | 25 Jun 2023 21:59 |
Status: | Published |
Publisher: | SciTePress |
Identification Number: | 10.5220/0007801806090615 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:150670 |