Trajectory Data Mining

By Yu Zheng. ACM Transactions on Intelligent Systems and Technology, 2015

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Geospatial Area Embedding Based on the Movement Purpose Hypothesis Using Large-Scale Mobility Data from Smart Card (2016, background): “As location-based sensor devices and networks have been widely spread, a large amount of mobility data of users, which can be potentially used for several research purposes, has been accumulated [1] [2].”
Human motion trajectory prediction: a survey (2019, background): “Several surveys have considered the topic of trajectory analysis and comparison (Zhang et al. 2006; Morris and Trivedi 2008; Zheng 2015; Quehl et al. 2017; Pan et al. 2016) where, based on the previous ones, only the recent survey by Quehl et al. (2017) speciﬁcally considers similarity measures for…”
Spatio-Temporal Data Mining (2017, background): “Publication date: November 2017. presented in [Li 2014; Mamoulis 2009; Zheng 2015].”
Computing Urban Traffic Congestions by Incorporating Sparse GPS Probe Data and Social Media Data (2017, neutral): “[Zheng 2015b] on algorithms and applications of mining trajectory data, especially the vehicle trajectory data.”
A Survey on Trajectory Data Management, Analytics, and Learning (2020, methodology): “this Survey While several surveys on trajectory data exist, none of these review trajectory data management and applications as outlined in Figure 2. Prior surveys have covered trajectory data mining [206], semantic trajectory modeling [132], and related applications [138]. Table 2 compares and cont”