Results 31 to 40 of about 1,061,883 (288)
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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Incremental Learning on Trajectory Clustering [PDF]
, 2011 Scene understanding corresponds to the real time process of perceiving, analysing and elaborating an interpretation of a 3D dynamic scene observed through a network of cameras. The whole challenge consists in managing this huge amount of information and in structuring all the knowledge.
Patino Vilchis, Jose Luis +2 more
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Clustering Trajectories for Map Construction
Proceedings of the 25th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2017 We propose a new approach for constructing the underlying map from trajectory data. Our algorithm is based on the idea that road segments can be identified as stable subtrajectory clusters in the data. For this, we consider how subtrajectory clusters evolve for varying distance values, and choose stable values for these.
Kevin Buchin +8 more
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Comparative Analysis of Three Methods for HYSPLIT Atmospheric Trajectories Clustering
Atmosphere, 2021 Using the Hybrid Single-Particle Lagrangian Integrated Trajectory (HYSPLIT) model to obtain backward trajectories and then conduct clustering analysis is a common method to analyze potential sources and transmission paths of atmospheric particulate ...
Likai Cui, Xiaoquan Song, Guoqiang Zhong
doaj +1 more source
Sensors, 2017 This paper presents a novel framework for trajectories’ extraction and missing data recovery for bus traveling data sampled from the Internet. The trajectory extraction procedure is composed of three main parts: trajectory clustering, trajectory cleaning
Changfei Tong +3 more
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An Anomaly Detection Algorithm for Time-series Data Flow Oriented to Trajectory Information [PDF]
Jisuanji gongcheng, 2018 Aiming at the problem that most traditional clustering algorithms cannot cluster time-series data flow,a clustering algorithm based on density and grid is proposed.It introduces the method of dynamic grid partitioning,dynamically set parameters such as ...
GAO Jiawei,LIU Jianmin
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, 2023 One of the techniques for the analysis of travel patterns on a public transport network is the clustering of the users movements, in order to identify movement patterns. This paper analyses and compares two different methodologies for public transport trajectory clustering: feature clustering and geospatial trajectory clustering.
Hector Cogollos Adrian +3 more
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Efficient Trajectory Clustering with Road Network Constraints Based on Spatiotemporal Buffering
ISPRS International Journal of Geo-Information, 2023 The analysis of individuals’ movement behaviors is an important area of research in geographic information sciences, with broad applications in smart mobility and transportation systems.
Syed Adil Hussain +7 more
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Trajectory Shape Analysis and Anomaly Detection Utilizing Information Theory Tools
Entropy, 2017 In this paper, we propose to improve trajectory shape analysis by explicitly considering the speed attribute of trajectory data, and to successfully achieve anomaly detection.
Yuejun Guo +4 more
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A survey on trajectory clustering analysis
CoRR, 2018 This paper comprehensively surveys the development of trajectory clustering. Considering the critical role of trajectory data mining in modern intelligent systems for surveillance security, abnormal behavior detection, crowd behavior analysis, and traffic control, trajectory clustering has attracted growing attention.
Jiang Bian 0006 +3 more
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