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Simulating human mobility with a trajectory generation framework based on diffusion model

文献类型：期刊论文

作者Chu, Chen1,2; Zhang, Hengcai1,2; Wang, Peixiao1,2; Lu, Feng1,2
刊名INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE
出版日期2024-02-05
页码32
ISSN号1365-8816
关键词Human mobility trajectory generation diffusion model geo-foundation model
DOI10.1080/13658816.2024.2312199
通讯作者Zhang, Hengcai(zhanghc@lreis.ac.cn)
英文摘要Most mobility modeling methods are designed to solve specific tasks, leading to questions regarding their deficiency in generalizability. Inspired by the bloom of foundation models, we proposed a Trajectory Generation framework based on the Diffusion Model (TrajGDM) to capture the universal mobility pattern in a trajectory dataset by learning the trajectory generation process. The process is modeled as a step-by-step uncertainty-reducing process, in which a deep learning network with a novel training method is proposed to learn from the process. We compared the proposed trajectory generation method with six baselines on two public trajectory datasets. The results showed that the similarity between the generated and real trajectory movements measured by the Jensen-Shannon Divergence improved significantly on both datasets. Moreover, we applied zero-shot inferences on two basic trajectory tasks: trajectory prediction and trajectory reconstruction. The accuracy improved by a maximum of 25.6% on two tasks. The universal mobility pattern that is suitable for solving multiple trajectory tasks is verified, inferring the strong generalizability of our model. Finally, the study provides insights into artificial intelligence's understanding of human mobility by exploring the way the model maps the trajectory in the latent space into reality.
资助项目National Key Research and Development Program of China[2022YFB3904102] ; China National Postdoctoral Support Program for Innovative Talents[BX20230360]
WOS研究方向Computer Science ; Geography ; Physical Geography ; Information Science & Library Science
语种英语
出版者TAYLOR & FRANCIS LTD
WOS记录号WOS:001157158500001
资助机构National Key Research and Development Program of China ; China National Postdoctoral Support Program for Innovative Talents
源URL[http://ir.igsnrr.ac.cn/handle/311030/202546]  
专题中国科学院地理科学与资源研究所
通讯作者Zhang, Hengcai
作者单位1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing, Peoples R China
2.Univ Chinese Acad Sci, Beijing, Peoples R China
推荐引用方式
GB/T 7714		 Chu, Chen,Zhang, Hengcai,Wang, Peixiao,et al. Simulating human mobility with a trajectory generation framework based on diffusion model[J]. INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE,2024:32.
APA Chu, Chen,Zhang, Hengcai,Wang, Peixiao,&Lu, Feng.(2024).Simulating human mobility with a trajectory generation framework based on diffusion model.INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE,32.
MLA Chu, Chen,et al."Simulating human mobility with a trajectory generation framework based on diffusion model".INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE (2024):32.

入库方式： OAI收割

来源：地理科学与资源研究所

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