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Virtual Running of GPS Vehicles for Trajectory Analysis
Proceedings of the 10th International Conference on Ubiquitous Information Management and Communication, 2016Mining moving patterns from object trajectories is an crucial task for understanding movement characteristics. In this study, we propose a novel trajectory analysis method to detect split-and-merge patterns based on a virtual running method. A virtual run is a rearranged moving order of objects that minimizes the cost function and is used to perform ...
Bokuk Park +4 more
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Learning Location Correlation from GPS Trajectories
2010 Eleventh International Conference on Mobile Data Management, 2010People’s location histories imply the location correlation that states the relations between geographical locations in the space of human behavior. With the correlation, we can enable many valuable services, such as location recommendation and sales promotion.
Yu Zheng 0004, Xing Xie 0001
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Constructing Street Networks from GPS Trajectories
2012We consider the problem of constructing street networks from geo-referenced trajectory data: Given a set of trajectories in the plane, compute a street network that represents all trajectories in the set. We present a simple and practical incremental algorithm that is based on partial matching of the trajectories to the graph.
Mahmuda Ahmed, Carola Wenk
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Calibration of GPS trajectory datasets
2014An accurate and high-sampling-rate GPS trajectory dataset is essential to many trajectory-based applications. However, in practice the GPS dataset always has large position errors and relatively low sampling rate. In this work, we propose and implement a weighting-based map matching algorithm and an interpolation algorithm to calibrate the erroneous ...
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GPS Trajectory Clustering and Visualization Analysis
Annals of Data Science, 2017The trajectory data of taxies containing time dimensional and spatial dimensional information is an important kind of traffic data. How to obtain valuable information from these data has become a hot topic in the field of intelligent transportation. Existing trajectory clustering algorithms can only compute similarities using partial characteristics of
Li Cai, Sijin Li, Shipu Wang, Yu Liang
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GPS Trajectory Compression Algorithm
2019This research is oriented toward the development of a trajectory compression algorithm for global positioning systems. In order to increase the compression ratio of the data, an algorithm is developed based on the algorithm of compression of GPS trajectories Top Down - Time Ratio.
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Fusion of GPS and Accelerometer Information for Anomalous Trajectories Detection
Proceedings of the 2019 the 5th International Conference on e-Society, e-Learning and e-Technologies - ICSLT 2019, 2019Nowadays the rise of Internet of Things (IoT) has led the use of a wide variety of sensor types able to collect multiple types of data. In order to manage this heterogeneous data and gather knowledge, it is useful to combine different sources of information.
Jorge Navarro 0006 +3 more
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HESAVE: An Approach for Online Heuristic GPS Trajectory Sampling
2018In location based service system, online trajectory compression can help to relieve the whole system’s pressure by reducing communication, storage and computation cost during network transmission, storage and business computing. Segment simplified sampling method is a kind of trajectory compression methods which is widely used in online trajectory ...
Zexin Yan +2 more
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Reference Trajectories From GPS Measurements
Navigation, 1988A closed-form solution of the GPS pseudorange equations, an unaided Kalman filter, and an inertially-aided Kalman filter are used with differential GPS postprocessing to produce reference trajectories for evaluation of GPS user-equipment, for evaluation of integrated host vehicle navigation, and for accurate Time Space Position Information over large ...
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