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首页|期刊导航|International Journal of Transportation Science and Technology|Machine learning-based climate zoning and asphalt selection for pavement infrastructure under changing climate:A focused study of Ningxia,China

Machine learning-based climate zoning and asphalt selection for pavement infrastructure under changing climate:A focused study of Ningxia,China

Feipeng Xiao Zhitao Zhang Zichao Wu Wentao He Jin Li

International Journal of Transportation Science and Technology2025,Vol.18Issue(2):P.371-386,16.
International Journal of Transportation Science and Technology2025,Vol.18Issue(2):P.371-386,16.DOI:10.1016/j.ijtst.2024.10.001

Machine learning-based climate zoning and asphalt selection for pavement infrastructure under changing climate:A focused study of Ningxia,China

Feipeng Xiao 1Zhitao Zhang 1Zichao Wu 1Wentao He 1Jin Li2

作者信息

  • 1. Key Laboratory of Road and Traffic Engineering of Ministry of Education,Tongji University,Shanghai 201804,China
  • 2. Key Laboratory of Road and Traffic Engineering of Ministry of Education,Tongji University,Shanghai 201804,China Lyles School of Civil Engineering,Purdue University,West Lafayette,IN 47907,United States
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摘要

关键词

Climate zoning/Machine learning/Climate change/Pavement engineering

分类

交通工程

引用本文复制引用

Feipeng Xiao,Zhitao Zhang,Zichao Wu,Wentao He,Jin Li..Machine learning-based climate zoning and asphalt selection for pavement infrastructure under changing climate:A focused study of Ningxia,China[J].International Journal of Transportation Science and Technology,2025,18(2):P.371-386,16.

International Journal of Transportation Science and Technology

2046-0430

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