Act2Loc：结合机器学习和机理模型的合成轨迹生成方法

IF 4.3 1区地球科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS

International Journal of Geographical Information Science Pub Date : 2023-12-12 DOI:10.1080/13658816.2023.2292570

Kang Liu, Xin Jin, Shifen Cheng, Song Gao, Ling Yin, Feng Lu

引用次数: 0

摘要

人类流动数据在传染病、交通和公共安全等许多领域发挥着至关重要的作用。尽管信息和通信技术（ICTs）的发展 ...

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Act2Loc: a synthetic trajectory generation method by combining machine learning and mechanistic models

Human mobility data play a crucial role in many fields such as infectious diseases, transportation, and public safety. Although the development of Information and Communication Technologies (ICTs) ...

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来源期刊

International Journal of Geographical Information Science 地学-计算机：信息系统

CiteScore

11.00

自引率

7.00%

发文量

审稿时长

9 months

期刊介绍： International Journal of Geographical Information Science provides a forum for the exchange of original ideas, approaches, methods and experiences in the rapidly growing field of geographical information science (GIScience). It is intended to interest those who research fundamental and computational issues of geographic information, as well as issues related to the design, implementation and use of geographical information for monitoring, prediction and decision making. Published research covers innovations in GIScience and novel applications of GIScience in natural resources, social systems and the built environment, as well as relevant developments in computer science, cartography, surveying, geography and engineering in both developed and developing countries.