Results 21 to 30 of about 76,600 (295)
Ordering of trajectories reveals hierarchical finite-time coherent sets in Lagrangian particle data: detecting Agulhas rings in the South Atlantic Ocean [PDF]
Nonlinear Processes in Geophysics, 2021 The detection of finite-time coherent particle sets in Lagrangian trajectory data, using data-clustering techniques, is an active research field at the moment.
D. Wichmann +6 more
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Applied Sciences, 2023 Trajectory clustering algorithms analyze the movement trajectory of the target objects to mine the potential movement trend, regularity, and behavioral patterns of the object.
Xiaoya An +6 more
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Evolutionary Clustering of Streaming Trajectories
CoRR, 2021 The widespread deployment of smartphones and location-enabled, networked in-vehicle devices renders it increasingly feasible to collect streaming trajectory data of moving objects. The continuous clustering of such data can enable a variety of real-time services, such as identifying representative paths or common moving trends among objects in real ...
Tianyi Li 0005 +4 more
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A Hybrid-Clustering Model of Ship Trajectories for Maritime Traffic Patterns Analysis in Port Area
Journal of Marine Science and Engineering, 2022 A hybrid-clustering model is presented for the probabilistic characterization of ship traffic and anomaly detection. A hybrid clustering model was proposed to increase the efficiency of trajectory clustering in the port area and analyze the maritime ...
Lei Liu +5 more
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ISPRS International Journal of Geo-Information, 2018 Rapidly growing GPS (Global Positioning System) trajectories hide much valuable information, such as city road planning, urban travel demand, and population migration.
Xiangbing Zhou +4 more
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An Improved Fuzzy Trajectory Clustering Method for Exploring Urban Travel Patterns
Journal of Advanced Transportation, 2021 Exploring urban travel patterns can analyze the mobility regularity of residents to provide guidance for urban traffic planning and emergency decision.
Fang Liu +4 more
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Air Traffic Trajectory Operation Mode Mining Based on Clustering
Applied Sciences, 2022 When processing track sequences, it is time-consuming and difficult to separate clusters with substantial density variations to deal with the problem of classic clustering methods mining common flight patterns in airspace.
Xinmin Tang, Yusheng Liu, Kefan Chen
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Application of OPTICS and Offline Batch Processing in Trajectory Clustering [PDF]
Jisuanji gongcheng, 2020 Trajectory clustering is an important step in spatio-temporal trajectory processing.Common trajectory clustering algorithms,such as TRACLUS algorithm,usually have high time complexity and are sensitive to input parameters,thus consuming a lot of time to ...
GUO Yu, CHEN Jinyong, ZHANG Xinyu, LI Liang, SUN Weiwei
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Trajectory Clustering Algorithm Based on Group and Density [PDF]
Jisuanji gongcheng, 2021 The existing density-based clustering methods are mainly used for point data clustering, and not suitable for large-scale trajectory data. To address the problem, this paper proposes a trajectory clustering algorithm based on group and density. According
YU Qingying, ZHAO Yajun, YE Zitong, HU Fan, XIA Yun
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Trajectory Data Mining via Cluster Analyses for Tropical Cyclones That Affect the South China Sea
ISPRS International Journal of Geo-Information, 2017 The equal division of tropical cyclone (TC) trajectory method, the mass moment of the TC trajectory method, and the mixed regression model method are clustering algorithms that use space and shape information from complete TC trajectories.
Feng Yang +3 more
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