Cross-Transportation-Mode Knowledge Transfer for Trajectory Recovery With Meta Learning

doi:10.1109/TITS.2025.3537038

	Cross-Transportation-Mode Knowledge Transfer for Trajectory Recovery With Meta Learning
	Wang, Chenxing 1; Zhao, Fang 1; Luo, Haiyong 2; Sun, Poly Z. H.3; Fang, Yuchen 4
	2025-02-10
发表期刊	IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
ISSN	1524-9050
页码	16
摘要	Transportation mode-aware trajectory recovery is the fundamental for individual oriented downstream tasks in intelligent transportation systems. Different from vehicle based trajectory recovery, it suffers from the heterogeneity and sparsity issues arising from the insufficient data labelled for distinct transportation modes (e.g., obtaining limited individual trajectories from modes like walking or cycling due to privacy concerns while obtaining rich vehicle trajectories from the mode like driving). To alleviate this, we develop a novel Cross-trAnsportation-mode Knowledge transfEr method with meta learning, coined as Cake, to first learn generalized parameters from source modes (i.e., the relatively dense modes) and then share the meta knowledge with the targets (i.e., more sparse modes), which significantly improve the recovery performance for the sparse. To achieve this, we first develop an efficient fine-GRAined Personalized trajectory rEcovery model called Grape, to incorporate the cross-granularity features with coarse-centered and fine-centered subgraph learning and learn the intrinsic characteristics of transportation modes with auto-correlation efficiently. Then we design a personalized memory to store distinct parameters for diverse interests of individual groups and read the memory for predictor's input features according to the previous learnt features. At last, we employ the feature reuse strategy based on meta learning to iteratively make adaptions from the source to the target. Extensive experimental results on real-world dataset demonstrate that our proposed method significantly outperforms the state-of-arts for the sparse modes.
关键词	Trajectory Transportation Roads Metalearning Legged locomotion Knowledge transfer Transformers Global Positioning System Video recording Predictive models Transportation mode-aware trajectory recovery spatial-temporal data mining knowledge transfer
DOI	10.1109/TITS.2025.3537038
收录类别	SCI
语种	英语
资助项目	National Natural Science Foundation of China[62261042] ; Key Research Projects of the Joint Research Fund for Beijing Natural Science Foundation[L221003] ; Fengtai Rail Transit Frontier Research Joint Fund[L221003] ; Beijing Natural Science Foundation[4232035] ; Beijing Natural Science Foundation[4254084] ; Strategic Priority Research Program of Chinese Academy of Sciences[XDA28040500] ; Yibin City Introduction of High-Level Talent Project[2024YG01] ; China Postdoctoral Science Foundation[2024M750200] ; BUPT Excellent Ph.D. Students Foundation[CX2022132]
WOS研究方向	Engineering ; Transportation
WOS类目	Engineering, Civil ; Engineering, Electrical & Electronic ; Transportation Science & Technology
WOS记录号	WOS:001470570700001
出版者	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
引用统计
文献类型	期刊论文
条目标识符	http://119.78.100.204/handle/2XEOYT63/40585
专题	中国科学院计算技术研究所期刊论文_英文
通讯作者	Zhao, Fang; Luo, Haiyong
作者单位	1.Beijing Univ Posts & Telecommun, Sch Comp Sci, Natl Pilot Software Engn Sch, Beijing 100876, Peoples R China 2.Chinese Acad Sci, Inst Comp Technol, Beijing Key Lab Mobile Comp & Pervas Device, Beijing 100080, Peoples R China 3.East China Normal Univ, Sch Psychol & Cognit Sci, Shanghai 200062, Peoples R China 4.Univ Elect Sci & Technol China, Sch Comp Sci & Engn, Chengdu 610054, Sichuan, Peoples R China
推荐引用方式 GB/T 7714	Wang, Chenxing,Zhao, Fang,Luo, Haiyong,et al. Cross-Transportation-Mode Knowledge Transfer for Trajectory Recovery With Meta Learning[J]. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS,2025:16.
APA	Wang, Chenxing,Zhao, Fang,Luo, Haiyong,Sun, Poly Z. H.,&Fang, Yuchen.(2025).Cross-Transportation-Mode Knowledge Transfer for Trajectory Recovery With Meta Learning.IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS,16.
MLA	Wang, Chenxing,et al."Cross-Transportation-Mode Knowledge Transfer for Trajectory Recovery With Meta Learning".IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS (2025):16.