@inproceedings{5ec37c257ee549d797c6c9e05386c1fe,
title = "An application-oriented multi-granularity vehicle trajectory data indexing structure based on concept lattice",
abstract = "Massive amount of vehicle trajectory data is an important data source and has been widely used in many research fields. However, due to the huge volume and variety of application scenarios, it is still not easy to achieve the application-oriented and efficient retrieval of vehicle trajectory. The paper proposes a multi-granularity vehicle trajectory index method based on the concept lattice model. The method identifies the multi-granularity feature regions for application requirements to segment vehicle trajectory and employs the concept lattice model to maintain the complex relationships between vehicle trip and the feature regions, to realize the vehicle travel trajectory data retrieval for the multi-granularity feature regions. In this experiment, shanghai city is divided into 21 feature regions according to the county-level area of Shanghai, and the concept lattice index structure of vehicle trips is constructed. The availability and efficiency of the proposed method are verified by the comparative experimental results.",
keywords = "a concept lattice, application-oriented indexing structure, multi-granularity, vehicle trajectory data",
author = "Tao Xu and Zixiang Zhang and Xiaqing Ma and Jiaming Deng and Yingying Zhao and Xiang Li",
note = "Publisher Copyright: {\textcopyright} 2022 SPIE.; 5th International Conference on Computer Information Science and Application Technology, CISAT 2022 ; Conference date: 29-07-2022 Through 31-07-2022",
year = "2022",
doi = "10.1117/12.2656783",
language = "英语",
series = "Proceedings of SPIE - The International Society for Optical Engineering",
publisher = "SPIE",
editor = "Fuming Zhao",
booktitle = "5th International Conference on Computer Information Science and Application Technology, CISAT 2022",
address = "美国",
}