Heterogeneous graph traffic prediction considering spatial information around roads
文献类型：期刊论文
| 作者 | Chen, Jiahui1,2; Yang, Lina1,2; Qin, Cang1,2; Yang, Yi3 ; Peng, Ling1,2; Ge, Xingtong1,2
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| 刊名 | INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION
 |
| 出版日期 | 2024-04-01 |
| 卷号 | 128页码:11 |
| 关键词 | Traffic prediction Spatial information Heterogeneous graph Time series |
| ISSN号 | 1569-8432 |
| DOI | 10.1016/j.jag.2024.103709 |
| 通讯作者 | Yang, Lina(yangln@aircas.ac.cn) |
| 英文摘要 | Precise traffic prediction is crucial in the domain of intelligent transportation. However, the task of accurately predicting traffic has struggled to keep pace with escalating application demands. One of the main reasons for this difficulty is the neglect of the dependence of surrounding spatial data on traffic information. In this study, we introduce a novel framework that incorporates the surrounding spatial data from the road network into the analysis of existing sensor graphs. We delve into an innovative method for traffic prediction by employing a heterogeneous graph that integrates the surrounding spatial information from the road network. The method is based on the common observation that traffic conditions are closely associated with surrounding spatial information, which can be analyzed utilizing heterogeneous graphs. Consequently, we propose a new framework, the heterogeneous attentive spatial-temporal network (HASTN). This framework constructs a heterogeneous graph that merges road networks with surrounding geographic features and employs attention mechanisms to learn traffic patterns. Our method achieves promising results on public datasets as well as a dataset we proposed. Additionally, we employ spatial information to analyze the impact of road traffic patterns on attention. This research offers a fresh perspective on addressing traffic prediction problems by integrating spatial information. |
| WOS关键词 | NETWORKS |
| WOS研究方向 | Remote Sensing |
| 语种 | 英语 |
| WOS记录号 | WOS:001199985900001 |
| 出版者 | ELSEVIER |
| 源URL | [http://ir.ia.ac.cn/handle/173211/58136]  |
| 专题 | 自动化研究所_智能感知与计算研究中心 |
| 通讯作者 | Yang, Lina |
| 作者单位 | 1.Chinese Acad Sci, Aerosp Informat Res Inst, 9 Dengzhuang South Rd, Beijing 100094, Peoples R China 2.Univ Chinese Acad Sci, 1 Yanqihu East Rd, Beijing 101408, Peoples R China 3.Chinese Acad Sci, Inst Automat, 95 Zhongguancun East Rd, Beijing 100190, Peoples R China |
| 推荐引用方式 GB/T 7714 | Chen, Jiahui,Yang, Lina,Qin, Cang,et al. Heterogeneous graph traffic prediction considering spatial information around roads[J]. INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION,2024,128:11. |
| APA | Chen, Jiahui,Yang, Lina,Qin, Cang,Yang, Yi,Peng, Ling,&Ge, Xingtong.(2024).Heterogeneous graph traffic prediction considering spatial information around roads.INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION,128,11. |
| MLA | Chen, Jiahui,et al."Heterogeneous graph traffic prediction considering spatial information around roads".INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION 128(2024):11. |
入库方式： OAI收割
来源：自动化研究所
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