Ten quick tips for improving estimated time of arrival predictions using machine learning in logistics and transportation systems

Aasim Ayaz Wani

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DOI: 10.7717/peerj-cs.3259
Published: 2025-10-06
Container: PeerJ Computer Science
Publisher: PeerJ
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.7717/peerj-cs.3259,
  title = {Ten quick tips for improving estimated time of arrival predictions using machine learning in logistics and transportation systems},
  author = {Aasim Ayaz Wani},
  year = {2025},
  journal = {PeerJ Computer Science},
  doi = {10.7717/peerj-cs.3259},
  url = {https://doi.org/10.7717/peerj-cs.3259}
}

RIS

TY  - JOUR
TI  - Ten quick tips for improving estimated time of arrival predictions using machine learning in logistics and transportation systems
AU  - Aasim Ayaz Wani
PY  - 2025
JO  - PeerJ Computer Science
DO  - 10.7717/peerj-cs.3259
UR  - https://doi.org/10.7717/peerj-cs.3259
ER  -

APA

Wani, A. A. (2025). Ten quick tips for improving estimated time of arrival predictions using machine learning in logistics and transportation systems. PeerJ Computer Science. https://doi.org/10.7717/peerj-cs.3259

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crossref · retrieved 2026-09-25T07:31:56.645Z