[1] 高强, 张凤荔, 王瑞锦, 等. 轨迹大数据: 数据处理关键技术研究综述[J]. 软件学报, 2017, 28(4): 959-992 https://www.cnki.com.cn/Article/CJFDTOTAL-RJXB201704015.htm

Gao Qiang, Zhang Fengli, Wang Ruijin, et al. Tra-jectory Big Data: A Review of Key Technologies in Data Processing[J]. Journal of Software, 2017, 28 (4): 959-992 https://www.cnki.com.cn/Article/CJFDTOTAL-RJXB201704015.htm
[2] Zheng Y. Trajectory Data Mining: An Overview [J]. ACM Transactions on Intelligent Systems and Technology, 2015, 6(3): 1-41 http://pure.ltu.se/portal/en/publications/trajectory-data-mining(47e55f7e-db63-4ee4-a2a8-917c82999856)/export.html
[3] 吴华意, 黄蕊, 游兰, 等. 出租车轨迹数据挖掘进展[J]. 测绘学报, 2019, 48(11): 1 341-1 356 https://www.cnki.com.cn/Article/CJFDTOTAL-CHXB201911002.htm

Wu Huayi, Huang Rui, You Lan, et al. Recent Progress in Taxi Trajectory Data Mining[J]. Acta Geodaetica et Cartographica Sinica, 2019, 48(11): 1 341-1 356 https://www.cnki.com.cn/Article/CJFDTOTAL-CHXB201911002.htm
[4] Li J, Qin Q, Xie C, et al. Integrated Use of Spatial and Semantic Relationships for Extracting Road Net-works from Floating Car Data[J]. International Journal of Applied Earth Observation and Geoinfor- mation, 2012, 19: 238-247 doi:  10.1016/j.jag.2012.05.013
[5] Li J, Li Q, Zhu Y, et al. An Automatic Extraction Method of Coach Operation Information from Histo-rical Trajectory Data[J]. Journal of Advanced Transportation, 2019, 2 019: 1-15 http://www.researchgate.net/publication/331031108_An_Automatic_Extraction_Method_of_Coach_Operation_Information_from_Historical_Trajectory_Data
[6] Jiang S, Fiore G A, Yang Y, et al. A Review of Ur-ban Computing for Mobile Phone Traces: Current Methods, Challenges and Opportunities[C]//The 2nd ACM SIGKDD International Workshop on Ur-ban Computing, New York, USA, 2013
[7] Chen B Y, Wang Y, Wang D, et al. Understanding the Impacts of Human Mobility on Accessibility U-sing Massive Mobile Phone Tracking Data[J]. An- nals of the American Association of Geographers, 2018(1): 1-19 doi:  10.1080/24694452.2017.1411244?cookieSet=1
[8] 杨喜平, 方志祥. 移动定位大数据视角下的人群移动模式及城市空间结构研究进展[J]. 地理科学进展, 2018, 37(7): 880-889 https://www.cnki.com.cn/Article/CJFDTOTAL-DLKJ201807002.htm

Yang Xiping, Fang Zhixiang. Recent Progress in Studying Human Mobility and Urban Spatial Struc-ture Based on Mobile Location Big Data[J]. Prog- ress in Geography, 2018, 37(7): 880-889 https://www.cnki.com.cn/Article/CJFDTOTAL-DLKJ201807002.htm
[9] 李德仁, 邵振峰, 于文博, 等. 基于时空位置大数据的公共疫情防控服务让城市更智慧[J]. 武汉大学学报·信息科学版, 2020, 45(4): 475-487 doi:  10.13203/j.whugis20200145

Li Deren, Shao Zhenfeng, Yu Wenbo, et al. Public Epidemic Prevention and Control Services Based on Big Data of Spatiotemporal Location Make Cities more Smart[J]. Geomatics and Information Science of Wuhan University, 2020, 45(4): 475-487 doi:  10.13203/j.whugis20200145
[10] Li R, Pei S, Chen B, et al. Substantial Undocumented Infection Facilitates the Rapid Dissemination of No-vel Coronavirus (SARS-CoV-2)[J]. Science, 2020, 368(6 490): 489-493 http://www.researchgate.net/publication/339334156_Substantial_undocumented_infection_facilitates_the_rapid_dissemination_of_novel_coronavirus_COVID-19
[11] 贾涛, 李琦, 马楚, 等. 武汉市出租车轨迹二氧化碳排放的时空模式分析[J]. 武汉大学学报·信息科学版, 2019, 44(8): 1 115-1 123 doi:  10.13203/j.whugis20170334

Jia Tao, Li Qi, Ma Chu, et al. Computing the CO2 Emissions of Taxi Trajectories and Exploring Their Spatiotemporal Patterns in Wuhan City[J]. Geomatics and Information Science of Wuhan University, 2019, 44(8): 1 115-1 123 doi:  10.13203/j.whugis20170334
[12] Liu Y, Liu X, Gao S, et al. Social Sensing: A New Approach to Understanding Our Socioeconomic En-vironments[J]. Annals of the Association of Ameri- can Geographers, 2015, 105(3): 512–530 doi:  10.1080/00045608.2015.1018773
[13] Fang Zhixiang, Ni Yaqian, Huang Shouqian. A Multi-model Fusion Model of Individual Travel Lo-cation Prediction Using Markov and Machine Lear-ning Methods[J]. Geomatics and Information Scien- ce of Wuhan University, 2020, DOI: 10. 13203/j. whugis20190404
[14] Zheng Y, Xie X. Learning Travel Recommendations from User-Generated GPS Traces[J]. Transactions on Intelligent Systems and Technology, 2011, 2(1): 1-29 http://www.researchgate.net/publication/284414696_Learning_travel_recommendations_from_user-generated_gps_traces_ACM_Transactions_on_Intelligent_Systems_and_Technology_21
[15] Mou N, Zheng Y, Makkonen T, et al. Tourists? Digi-tal Footprint: The Spatial Patterns of Tourist Flows in Qingdao, China [J]. Tourism Management, 2020, 81: 104151 doi:  10.1016/j.tourman.2020.104151
[16] 许佳捷, 郑凯, 池明旻, 等. 轨迹大数据: 数据、应用与技术现状[J]. 通信学报, 2015, 36(12): 97-105 doi:  10.11959/j.issn.1000-436x.2015318

Xu Jiajie, Zheng Kai, Chi Mingmin, et al. Trajecto-ry Big Data: Data, Applications and Techniques [J]. Journal on Communications, 2015, 36(12): 97-105 doi:  10.11959/j.issn.1000-436x.2015318
[17] 向隆刚, 高萌, 王德浩, 等. GeohashTrees: 一种用于组织大规模轨迹的自适应索引[J]. 武汉大学学报·信息科学版, 2019, 44(3): 436-442 doi:  10.13203/j.whugis20160523

Xiang Longgang, Gao Meng, Wang Dehao, et al. Geohash-Trees: An Adaptive Index Which can Or-ganize Large-Scale Trajectories[J]. Geomatics and Information Science of Wuhan University, 2019, 44 (3): 436-442 doi:  10.13203/j.whugis20160523
[18] 龚玺, 裴韬, 孙嘉, 等. 时空轨迹聚类方法研究进展[J]. 地理科学进展, 2011, 30(5): 522-534 https://www.cnki.com.cn/Article/CJFDTOTAL-DLKJ201105004.htm

Gong Xi, Pei Tao, Sun Jia, et al. Review of the Re-search Progresses in Trajectory Clustering Methods [J]. Progress in Geography, 2011, 30(5): 522-534 https://www.cnki.com.cn/Article/CJFDTOTAL-DLKJ201105004.htm
[19] 赵竹珺, 吉根林. 时空轨迹分类研究进展[J]. 地球信息科学学报, 2017, 19(3): 289-297 https://www.cnki.com.cn/Article/CJFDTOTAL-DQXX201703002.htm

Zhao Zhujun, Ji Genlin. Research Progress of Spa-tialtemporal Trajectory Classification[J]. Journal of Geo-Information Science, 2017, 19(3): 289-297 https://www.cnki.com.cn/Article/CJFDTOTAL-DQXX201703002.htm
[20] Li Y, Bailey J, Kulik L. Efficient Mining of Platoon Patterns in Trajectory Databases[J]. Data and Knowledge Engineering, 2015, 100: 167-187 doi:  10.1016/j.datak.2015.02.001
[21] Monreale A, Pinelli F, Trasarti R, et al. Wherenext: A Location Predictor on Trajectory Pattern Mining [C]//The 15th ACM SIGKDD International Con-ference on Knowledge Discovery and Data Mining, Association for Computing Machinery, New York, USA, 2009
[22] Li Z, Ding B, Han J, et al. Mining Periodic Behaviors for Moving Objects[C]//The 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, New York, USA, 2010
[23] Li J, Wang J, Zhang J, et al. A Probabilistic Ap-proach to Detect Mixed Periodic Patterns from Mo-ving Object Data[J]. Geoinformatica, 2016, 20 (4): 715-739 doi:  10.1007/s10707-016-0261-2
[24] Knorr E M, Ng R T, Tucakov V. Distance-Based Outliers: Algorithms and Applications [J]. The VLDB Journal, 2000, 8(3/4): 237-253 http://www.springerlink.com/content/6uf142h100963ft5/
[25] 陆锋, 刘康, 陈洁. 大数据时代的人类移动性研究[J]. 地球信息科学学报, 2014, 16(5): 665-672 https://www.cnki.com.cn/Article/CJFDTOTAL-DQXX201405002.htm

Lu Feng, Liu Kang, Chen Jie. Research on Human Mobility in Big Data Era[J]. Journal of Geo-Infor- mation Science, 2014, 16(5): 665-672 https://www.cnki.com.cn/Article/CJFDTOTAL-DQXX201405002.htm
[26] 蔡瑞初, 林峰极, 郝志峰, 等. 面向轨迹流数据的索引构建与存储方法研究[J]. 计算机工程, 2020, DOI: 10. 19678/j. issn. 1000-3428. 0057108

Cai Ruichu, Lin Fengji, Hao Zhifeng, et al. Re-search on Index Construction and Storage Method for Trajectory Stream Data[J]. Computer Enginee- ring, 2020, DOI: 10. 19678/j. issn. 1000-3428. 0057108
[27] Zhang Y, Ren S, Liu Y, et al. A Framework for Big Data Driven Product Lifecycle Management[J]. Journal of Cleaner Production, 2017, 159(15): 229-240 http://www.sciencedirect.com/science/article/pii/S0959652617309150
[28] Fan Q, Zhang D, Wu H, et al. A General and Paral-lel Platform for Mining Co-movement Patterns over Large-Scale Trajectories[J]. Proceedings of the VLDB Endowment, 2016, 10(4): 313-324 doi:  10.14778/3025111.3025114
[29] Ma Q, Yang B, Qian W, et al. Query Processing of Massive Trajectory Data Based on Mapreduce[C]// The 1st International Workshop on Cloud Data Mana-gement, Association for Computing Machinery, New York, USA, 2009
[30] Xu T, Zhang X, Claramunt C, et al. TripCube: A Trip-Oriented Vehicle Trajectory Data Indexing Structure[J]. Computers, Environment and Urban Systems, 2018, 67: 21-28 doi:  10.1016/j.compenvurbsys.2017.08.005
[31] 张萍, 李必军, 郑玲, 等. 一种基于改进LCSS的相似轨迹提取方法[J]. 武汉大学学报·信息科学版, 2020, 45(4): 550-556 doi:  10.13203/j.whugis20180406

Zhang Ping, Li Bijun, Zheng Ling, et al. A Similar Trajectory Extraction Method Based on Improved LCSS[J]. Geomatics and Information Science of Wuhan University, 2020, 45(4): 550-556 doi:  10.13203/j.whugis20180406
[32] 刘旻, 李梅, 徐晓宇, 等. 一种基于HMM模型改进的地图匹配算法[J]. 北京大学学报(自然科学版), 2018, 54(6): 1 235-1 241 https://www.cnki.com.cn/Article/CJFDTOTAL-BJDZ201806012.htm

Liu Min, Li Mei, Xu Xiaoyu, et al. An Improved Map Matching Algorithm Based on HMM Model [J]. Acta Scientiarum Naturalium Universitatis Pe- kinensis, 2018, 54(6): 1 235-1 241 https://www.cnki.com.cn/Article/CJFDTOTAL-BJDZ201806012.htm
[33] 李德仁, 邵振峰, 朱欣焰. 论空间信息多级格网及其典型应用[J]. 武汉大学学报·信息科学版, 2004, 29(11): 945-950 http://ch.whu.edu.cn/article/id/4446

Li Deren, Shao Zhenfeng, Zhu Xinyan. Spatial In-formation Multi-grid and Its Typical Application[J]. Geomatics and Information Science of Wuhan Uni- versity, 2004, 29(11): 945-950 http://ch.whu.edu.cn/article/id/4446
[34] Goodchild M F. Reimagining the History of GIS [J]. Annals of GIS, 2018, 24(1): 1-8 doi:  10.1080/19475683.2018.1424737
[35] 周成虎, 欧阳, 马廷. 地理格网模型研究进展[J]. 地理科学进展, 2009, 28(5): 657-662 https://www.cnki.com.cn/Article/CJFDTOTAL-DLKJ200905003.htm

Zhou Chenghu, Ou Yang, Ma Ting. Progresses of Geographical Grid Systems Researches[J]. Progress in Geography, 2009, 28(5): 657-662 https://www.cnki.com.cn/Article/CJFDTOTAL-DLKJ200905003.htm
[36] 陈述彭, 陈秋晓, 周成虎. 网格地图与网格计算[J]. 测绘科学, 2002(4): 1-6 doi:  10.3771/j.issn.1009-2307.2002.04.001

Chen Shupeng, Chen Qiuxiao, Zhou Chenghu. Grid Mapping and Grid Computing[J]. Science of Surve- ying and Mapping, 2002(4): 1-6 doi:  10.3771/j.issn.1009-2307.2002.04.001
[37] Mahdavi-Amiri A, Alderson T, Samavati F. A Sur-vey of Digital Earth[J]. Computers and Graphics, 2015, 53: 95-117 doi:  10.1016/j.cag.2015.08.005
[38] Zheng Y, Liu J, Li J, et al. Design of Fine Manage-ment System for Civil Aviation Airspace Resources Based on Spatiotemporal Grid Model[C]//The 1st International Conference on Civil Aviation Safety and Information Technology, Kunming, China, 2019: 547-555
[39] 赵学胜, 白建军. 基于菱形块的全球离散格网层次建模[J]. 中国矿业大学学报, 2007, 36(3): 397-401 doi:  10.3321/j.issn:1000-1964.2007.03.025

Zhao Xuesheng, Bai Jianjun. Hierarchical Model of Global Discrete Grids Based on Diamonds[J]. Jour- nal of China University of Mining and Technology, 2007, 36(3): 397-401 doi:  10.3321/j.issn:1000-1964.2007.03.025
[40] Sun W, Cui M, Zhao X, et al. A Global Discrete Grid Modeling Method Based on the Spherical De-generate Quadtree[C]//International Workshop on Geoscience and Remote Sensing, Shanghai, China, 2008
[41] Cheng C, Ren F, Pu G, et al. An Introduction to Spatial Information Subdivision Organization[M]. Beijing: Science Press, 2012
[42] Besse P C, Guillouet B, Loubes J, et al. Review and Perspective for Distance Based Trajectory Clus-tering[J]. IEEE Transactions on Intelligent Trans- portation Systems, 2016, 17(11): 3 306-3 317 doi:  10.1109/TITS.2016.2547641