---
_id: '29934'
abstract:
- lang: eng
  text: Tire and road wear are a major source of emissions of nonexhaust particulate
    matter (PM) and make up the largest share of microplastics in the environment.
    To reduce tire wear through numerical optimization of a vehicle's suspension system,
    fast simulations of the representative usage of a vehicle are needed. Therefore,
    this contribution evaluates if instead of a full simulation of a representative
    test drive, only specific driving maneuvers resulting from a clustering of the
    driving data can be used to predict tire wear. As a measure for tire wear, the
    friction work between tire and road is calculated. It is shown that enough clusters
    result in negligible deviations between the total friction work of the full simulation
    and the cluster simulations as well as between the distributions of the friction
    work over the tire width. The calculation time can be reduced to about 1% of the
    full simulation.
author:
- first_name: Lars
  full_name: Muth, Lars
  id: '77313'
  last_name: Muth
  orcid: 0000-0002-2938-5616
- first_name: Christian
  full_name: Noll, Christian
  last_name: Noll
- first_name: Walter
  full_name: Sextro, Walter
  id: '21220'
  last_name: Sextro
citation:
  ama: 'Muth L, Noll C, Sextro W. Generation of a Reduced, Representative, Virtual
    Test Drive for Fast Evaluation of Tire Wear by Clustering of Driving Data. In:
    Orlova A, Cole D, eds. <i>Advances in Dynamics of Vehicles on Roads and Tracks
    II - Proceedings of the 27th Symposium of the International Association of Vehicle
    System Dynamics, IAVSD 2021</i>. Lecture Notes in Mechanical Engineering. Springer;
    2022. doi:<a href="https://doi.org/10.1007/978-3-031-07305-2_92">10.1007/978-3-031-07305-2_92</a>'
  apa: Muth, L., Noll, C., &#38; Sextro, W. (2022). Generation of a Reduced, Representative,
    Virtual Test Drive for Fast Evaluation of Tire Wear by Clustering of Driving Data.
    In A. Orlova &#38; D. Cole (Eds.), <i>Advances in Dynamics of Vehicles on Roads
    and Tracks II - Proceedings of the 27th Symposium of the International Association
    of Vehicle System Dynamics, IAVSD 2021</i>. Springer. <a href="https://doi.org/10.1007/978-3-031-07305-2_92">https://doi.org/10.1007/978-3-031-07305-2_92</a>
  bibtex: '@inproceedings{Muth_Noll_Sextro_2022, place={Cham}, series={Lecture Notes
    in Mechanical Engineering}, title={Generation of a Reduced, Representative, Virtual
    Test Drive for Fast Evaluation of Tire Wear by Clustering of Driving Data}, DOI={<a
    href="https://doi.org/10.1007/978-3-031-07305-2_92">10.1007/978-3-031-07305-2_92</a>},
    booktitle={Advances in Dynamics of Vehicles on Roads and Tracks II - Proceedings
    of the 27th Symposium of the International Association of Vehicle System Dynamics,
    IAVSD 2021}, publisher={Springer}, author={Muth, Lars and Noll, Christian and
    Sextro, Walter}, editor={Orlova, Anna and Cole, David}, year={2022}, collection={Lecture
    Notes in Mechanical Engineering} }'
  chicago: 'Muth, Lars, Christian Noll, and Walter Sextro. “Generation of a Reduced,
    Representative, Virtual Test Drive for Fast Evaluation of Tire Wear by Clustering
    of Driving Data.” In <i>Advances in Dynamics of Vehicles on Roads and Tracks II
    - Proceedings of the 27th Symposium of the International Association of Vehicle
    System Dynamics, IAVSD 2021</i>, edited by Anna Orlova and David Cole. Lecture
    Notes in Mechanical Engineering. Cham: Springer, 2022. <a href="https://doi.org/10.1007/978-3-031-07305-2_92">https://doi.org/10.1007/978-3-031-07305-2_92</a>.'
  ieee: 'L. Muth, C. Noll, and W. Sextro, “Generation of a Reduced, Representative,
    Virtual Test Drive for Fast Evaluation of Tire Wear by Clustering of Driving Data,”
    in <i>Advances in Dynamics of Vehicles on Roads and Tracks II - Proceedings of
    the 27th Symposium of the International Association of Vehicle System Dynamics,
    IAVSD 2021</i>, Saint Petersburg, Russia, 2022, doi: <a href="https://doi.org/10.1007/978-3-031-07305-2_92">10.1007/978-3-031-07305-2_92</a>.'
  mla: Muth, Lars, et al. “Generation of a Reduced, Representative, Virtual Test Drive
    for Fast Evaluation of Tire Wear by Clustering of Driving Data.” <i>Advances in
    Dynamics of Vehicles on Roads and Tracks II - Proceedings of the 27th Symposium
    of the International Association of Vehicle System Dynamics, IAVSD 2021</i>, edited
    by Anna Orlova and David Cole, Springer, 2022, doi:<a href="https://doi.org/10.1007/978-3-031-07305-2_92">10.1007/978-3-031-07305-2_92</a>.
  short: 'L. Muth, C. Noll, W. Sextro, in: A. Orlova, D. Cole (Eds.), Advances in
    Dynamics of Vehicles on Roads and Tracks II - Proceedings of the 27th Symposium
    of the International Association of Vehicle System Dynamics, IAVSD 2021, Springer,
    Cham, 2022.'
conference:
  end_date: 2021-08-19
  location: Saint Petersburg, Russia
  name: 27th IAVSD Symposium on Dynamics of Vehicles on Roads and Tracks, IAVSD 2021
  start_date: 2021-08-17
date_created: 2022-02-21T14:14:11Z
date_updated: 2022-08-23T11:55:07Z
department:
- _id: '151'
doi: 10.1007/978-3-031-07305-2_92
editor:
- first_name: Anna
  full_name: Orlova, Anna
  last_name: Orlova
- first_name: David
  full_name: Cole, David
  last_name: Cole
keyword:
- Tire Wear
- Vehicle Dynamics
- Clustering
- Virtual Test
language:
- iso: eng
main_file_link:
- url: https://link.springer.com/chapter/10.1007/978-3-031-07305-2_92
place: Cham
publication: Advances in Dynamics of Vehicles on Roads and Tracks II - Proceedings
  of the 27th Symposium of the International Association of Vehicle System Dynamics,
  IAVSD 2021
publication_identifier:
  eisbn:
  - 978-3-031-07305-2
  isbn:
  - 978-3-031-07304-5
publication_status: published
publisher: Springer
quality_controlled: '1'
series_title: Lecture Notes in Mechanical Engineering
status: public
title: Generation of a Reduced, Representative, Virtual Test Drive for Fast Evaluation
  of Tire Wear by Clustering of Driving Data
type: conference
user_id: '77313'
year: '2022'
...