Study of Track Segmentation for Lap Time Optimization

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F24%3A00374620" target="_blank" >RIV/68407700:21230/24:00374620 - isvavai.cz</a>
Alternative codes found
RIV/68407700:21730/24:00374620
Result on the web
<a href="http://dx.doi.org/10.5220/0012728600003702" target="_blank" >http://dx.doi.org/10.5220/0012728600003702</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.5220/0012728600003702" target="_blank" >10.5220/0012728600003702</a>

Result language
angličtina
Original language name
Study of Track Segmentation for Lap Time Optimization
Original language description
Lap time minimization is of interest in every automotive racing competition. However, finding an optimal racing line is not a trivial task. In this work, we study one particular part of the racing line optimization problem, namely the track segmentation problem. We analyze how different track segmentation methods influence the racing line quality. Further, we present Automated Segmentation based on Curvature (ASC) method, which creates segments adaptively according to the track layout. Using lap time estimation based on a vehicle model, we compare ASC with two other methods from the literature. The preliminary results show that optimization based on ASC is able to outperform the other tested approaches by up to 15 % for the given number of iterations while converging to a good solution 3.88 times faster than the second-best method.
Czech name
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Czech description
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Project
<a href="/en/project/EH22_008%2F0004590" target="_blank" >EH22_008/0004590: Robotics and advanced industrial production</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Publication year
2024
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Proceedings of the 10th International Conference on Vehicle Technology and Intelligent Transport Systems
ISBN
978-989-758-703-0
ISSN
2184-495X
e-ISSN
2184-495X
Number of pages
4
Pages from-to
452-455
Publisher name
Science and Technology Publications, Lda
Place of publication
Setúbal
Event location
Angers
Event date
May 2, 2024
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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