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Probabilistic vehicle speed prediction and reliability-based design optimization of mountainous freeway renovation using Transformer and active learning surrogates.

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第一作者： Shanchuan,Yu

第一单位： National Engineering and Research Center for Mountainous Highways, China Merchants Chongqing Communications Research & Design Institute Co., Ltd., Chongqing 400067, China; College of Traffic & Transportation, Chongqing Jiaotong University, Chongqing 400074, China; Key Laboratory of Road and Traffic Engineering of the Ministry of Education, Tongji University, Shanghai 201804, China.

作者： Shanchuan,Yu ^[1] ; Yu,Chen ^[2] ; Shaofei,Wang ^[3] ; Yishun,Li ^[4]

作者单位： National Engineering and Research Center for Mountainous Highways, China Merchants Chongqing Communications Research & Design Institute Co., Ltd., Chongqing 400067, China; College of Traffic & Transportation, Chongqing Jiaotong University, Chongqing 400074, China; Key Laboratory of Road and Traffic Engineering of the Ministry of Education, Tongji University, Shanghai 201804, China. ^[1] Key Laboratory of Road and Traffic Engineering of the Ministry of Education, Tongji University, Shanghai 201804, China. ^[2] National Engineering and Research Center for Mountainous Highways, China Merchants Chongqing Communications Research & Design Institute Co., Ltd., Chongqing 400067, China. ^[3] Key Laboratory of Road and Traffic Engineering of the Ministry of Education, Tongji University, Shanghai 201804, China. Electronic address: 13liys@tongji.edu.cn. ^[4]

关键词 Active learning Kriging model Alignment and afflicted facility Driving safety Freeway renovation Reliability-based design optimization Transformer

医学主题词人类(Humans);汽车驾驶(Automobile Driving);环境设计(Environment Design);结果可重复性(Reproducibility of Results);安全(Safety);事故, 交通(Accidents, Traffic);模型, 统计学(Models, Statistical)

DOI 10.1016/j.aap.2026.108453

PMID 41702043

发布时间 2026-03-12

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