Machine learning approaches for predicting preventive maintenance costs of expressways in Xinjiang.

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Bibliographic Details
Title: Machine learning approaches for predicting preventive maintenance costs of expressways in Xinjiang.
Authors: Jia C; School of Architecture and Engineering, Xinjiang University, Urumqi, China., An J; Xinjiang Jiaotou Maintenance Group Co., Ltd., Urumqi, China.; Xinjiang Jiaotou Engineering Technology Development Co., Ltd., Urumqi, China., Ma S; School of Architecture and Engineering, Xinjiang University, Urumqi, China., Dai X; School of Traffic and Transportation Engineering, Xinjiang University, Urumqi, China.; Xinjiang Key Laboratory of Green Construction and Maintenance of Transportation Infrastructure and Intelligent Traffic Control, Urumqi, China.
Source: PloS one [PLoS One] 2026 Jun 16; Vol. 21 (6), pp. e0349595. Date of Electronic Publication: 2026 Jun 16 (Print Publication: 2026).
Publication Type: Journal Article
Journal Info: Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE
Database: MEDLINE Ultimate
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ISSN:1932-6203
DOI:10.1371/journal.pone.0349595