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

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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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  Data: <searchLink fieldCode="AU" term="%22Jia+C%22">Jia C</searchLink>; School of Architecture and Engineering, Xinjiang University, Urumqi, China.<br /><searchLink fieldCode="AU" term="%22An+J%22">An J</searchLink>; Xinjiang Jiaotou Maintenance Group Co., Ltd., Urumqi, China.; Xinjiang Jiaotou Engineering Technology Development Co., Ltd., Urumqi, China.<br /><searchLink fieldCode="AU" term="%22Ma+S%22">Ma S</searchLink>; School of Architecture and Engineering, Xinjiang University, Urumqi, China.<br /><searchLink fieldCode="AU" term="%22Dai+X%22">Dai X</searchLink>; 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.
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              Text: 2026 Jun 16
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