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Open Access

Expression of Concern

Expression of Concern: Development of AI-Augmented optimization technique for analysis & prediction of modal mix in road transportation

  • The PLOS One Editors

The PLOS One Editors issue this Expression of Concern because this article [1] was identified as one of a series of submissions for which we have concerns about the integrity and/or reliability of the peer review process.

Readers are advised to interpret the article [1] with consideration of this issue. In following up on this matter, PLOS did not evaluate the article’s integrity or scientific validity.

The Editors do not have concerns regarding the authors’ conduct during the peer review process.

Additionally, the article cited as Reference 26 was retracted after [1] was published.

Reference

  1. 1. Rauf H, Umer M. Development of AI-Augmented optimization technique for analysis & prediction of modal mix in road transportation. PLoS One. 2023;18(11):e0288493. pmid:37917657

Citation: The PLOS One Editors (2026) Expression of Concern: Development of AI-Augmented optimization technique for analysis & prediction of modal mix in road transportation. PLoS One 21(9): e0358925. https://doi.org/10.1371/journal.pone.0358925

Published: September 23, 2026

Copyright: © 2026 The PLOS One Editors. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.