A Novel Driver Performance Model Based on Machine Learning

Andrei Aksjonov, Pavel Nedoma, Valery Vodovozov, Eduard Petlenkov, Martin Herrmann

Open source

DOI: 10.1016/j.ifacol.2018.07.044
Published: 2018
Container: IFAC-PapersOnLine
Publisher: Elsevier BV
Open access: unknown

Credibility signals

uncertain Score 64/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

supportingDOI registered: A matching record was returned by Crossref. Source: Crossref; license: CC0 metadata
supportingDOI resolves: A matching record was returned by Crossref. Source: Crossref; license: CC0 metadata
not scoredDirectory of Open Access Journals: No matching DOAJ record was present in this response. No allow-list match; this is not evidence of low credibility. Source: DOAJ; license: CC0
not scoredMEDLINE indexed: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredOpenAlex core source: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredKnown publisher allow-list: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredROR affiliation: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredRetraction Watch retraction: No retraction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
not scoredRetraction Watch expression of concern: No expression of concern notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
not scoredRetraction Watch correction: No correction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
not scoredRetraction Watch reinstatement: No reinstatement notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
not scoredOpen access status: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredPublication license: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredPublication version: A publication version was supplied but is not scored. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
supportingMetadata completeness: All 6 scored descriptive metadata groups are present. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer

Cite this work

BibTeX

@article{allodium:10.1016/j.ifacol.2018.07.044,
  title = {A Novel Driver Performance Model Based on Machine Learning},
  author = {Andrei Aksjonov and Pavel Nedoma and Valery Vodovozov and Eduard Petlenkov and Martin Herrmann},
  year = {2018},
  journal = {IFAC-PapersOnLine},
  doi = {10.1016/j.ifacol.2018.07.044},
  url = {https://doi.org/10.1016/j.ifacol.2018.07.044}
}

RIS

TY  - JOUR
TI  - A Novel Driver Performance Model Based on Machine Learning
AU  - Andrei Aksjonov
AU  - Pavel Nedoma
AU  - Valery Vodovozov
AU  - Eduard Petlenkov
AU  - Martin Herrmann
PY  - 2018
JO  - IFAC-PapersOnLine
DO  - 10.1016/j.ifacol.2018.07.044
UR  - https://doi.org/10.1016/j.ifacol.2018.07.044
ER  -

APA

Aksjonov, A., Nedoma, P., Vodovozov, V., Petlenkov, E., & Herrmann, M. (2018). A Novel Driver Performance Model Based on Machine Learning. IFAC-PapersOnLine. https://doi.org/10.1016/j.ifacol.2018.07.044

Source records

crossref · retrieved 2026-09-25T08:06:06.092Z