An adaptive approach for modelling the movement uncertainty in trajectory data based on the concept of error ellipses
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[1] Klaus H. Hinrichs,et al. Managing uncertainty in moving objects databases , 2004, TODS.
[2] Hui Xiong,et al. Discovering Urban Functional Zones Using Latent Activity Trajectories , 2015, IEEE Transactions on Knowledge and Data Engineering.
[3] Bart Kuijpers,et al. Trajectory databases: Data models, uncertainty and complete query languages , 2007, J. Comput. Syst. Sci..
[4] Xing Xie,et al. Reducing Uncertainty of Low-Sampling-Rate Trajectories , 2012, 2012 IEEE 28th International Conference on Data Engineering.
[5] Vania Bogorny,et al. Unveiling movement uncertainty for robust trajectory similarity analysis , 2018, Int. J. Geogr. Inf. Sci..
[6] Daniel Dias,et al. CRAWDAD dataset coppe-ufrj/RioBuses (v.2018-03-19) , 2018 .
[7] Eugenio Cesario,et al. Trajectory Pattern Mining for Urban Computing in the Cloud , 2017, IEEE Transactions on Parallel and Distributed Systems.
[8] Bernhard Epple. Using a GPS-aided inertial system for coarse-pointing of free-space optical communication terminals , 2006, SPIE Optics + Photonics.
[9] Hans-Peter Kriegel,et al. Similarity Search on Uncertain Spatio-temporal Data , 2013, SISAP.
[10] Robert H. Halstead,et al. Matrix Computations , 2011, Encyclopedia of Parallel Computing.
[11] Harvey J. Miller,et al. Analytical methods for error propagation in planar space–time prisms , 2011, J. Geogr. Syst..
[12] Laks V. S. Lakshmanan,et al. Trajectory anonymity in publishing personal mobility data , 2011, SKDD.
[13] Stefania Bertazzon,et al. Comparison of distance measures in spatial analytical modeling for health service planning , 2009, BMC health services research.
[14] James Anderson,et al. Testing time-geographic density estimation for home range analysis using an agent-based model of animal movement , 2018, Int. J. Geogr. Inf. Sci..
[15] J. Beaverstock,et al. International Encyclopedia of Geography , 2016 .
[16] Harvey J. Miller,et al. Simulating visit probability distributions within planar space-time prisms , 2014, Int. J. Geogr. Inf. Sci..
[17] Harry Timmermans,et al. Evaluating the Accuracy of GPS-based Taxi Trajectory Records , 2014 .
[18] M. Kwan. Space-time and integral measures of individual accessibility: a comparative analysis using a point-based framework , 2010 .
[19] Yin Wang,et al. Mining large-scale, sparse GPS traces for map inference: comparison of approaches , 2012, KDD.
[20] Anil Kumar Gupta,et al. Effect of Different Distance Measures on the Performance of K-Means Algorithm: An Experimental Study in Matlab , 2014, ArXiv.
[21] Li-Ta Hsu,et al. A New Path Planning Algorithm Using a GNSS Localization Error Map for UAVs in an Urban Area , 2018, Journal of Intelligent & Robotic Systems.
[22] Goce Trajcevski,et al. Uncertainty in Spatial Trajectories , 2011, Computing with Spatial Trajectories.
[23] David W. S. Wong,et al. Modeling and Visualizing Regular Human Mobility Patterns with Uncertainty: An Example Using Twitter Data , 2015 .
[24] Sriram Raghavan,et al. Indexing and matching trajectories under inconsistent sampling rates , 2015, 2015 IEEE 31st International Conference on Data Engineering.
[25] Qiong Luo,et al. Detecting Taxi Speeding from Sparse and Low-Sampled Trajectory Data , 2018, APWeb/WAIM.
[26] Feng Xia,et al. Exploring Human Mobility Patterns in Urban Scenarios: A Trajectory Data Perspective , 2018, IEEE Communications Magazine.
[27] Martin Charlton,et al. The Minkowski approach for choosing the distance metric in geographically weighted regression , 2016, Int. J. Geogr. Inf. Sci..
[28] Stephan Winter,et al. The elements of probabilistic time geography , 2011, GeoInformatica.
[29] Mark W. Horner,et al. Adaptive-Velocity Time-Geographic Density Estimation for Mapping the Potential and Probable Locations of Mobile Objects , 2014 .
[30] Chengyang Zhang,et al. Map-matching for low-sampling-rate GPS trajectories , 2009, GIS.
[31] Yu Zheng,et al. Computing with Spatial Trajectories , 2011, Computing with Spatial Trajectories.
[32] Kai Hwang,et al. Intelligent Carpool Routing for Urban Ridesharing by Mining GPS Trajectories , 2014, IEEE Transactions on Intelligent Transportation Systems.
[33] David M. W. Powers,et al. Evaluation: from precision, recall and F-measure to ROC, informedness, markedness and correlation , 2011, ArXiv.
[34] Xing Xie,et al. Mining interesting locations and travel sequences from GPS trajectories , 2009, WWW '09.
[35] Daniel Dias,et al. CRAWDAD dataset coppe-ufrj/RioBuses (v.2018-02-20) , 2018 .
[36] Bart Kuijpers,et al. Modeling uncertainty of moving objects on road networks via space–time prisms , 2009, Int. J. Geogr. Inf. Sci..
[37] Harry J. P. Timmermans,et al. Incorporating activity-travel time uncertainty and stochastic space–time prisms in multistate supernetworks for activity-travel scheduling , 2014, Int. J. Geogr. Inf. Sci..
[38] Dieter Pfoser,et al. Capturing the Uncertainty of Moving-Object Representations , 1999, SSD.
[39] Harvey J. Miller,et al. Modeling Visit Probabilities within Network‐Time Prisms Using Markov Techniques , 2016 .
[40] B. Chen,et al. Reliable Space–Time Prisms Under Travel Time Uncertainty , 2013 .
[41] Ali Kashif Bashir,et al. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) , 2013, ICIRA 2013.
[42] Hua Lu,et al. Managing Evolving Uncertainty in Trajectory Databases , 2014, IEEE Transactions on Knowledge and Data Engineering.
[43] Stefano Secci,et al. Estimating human trajectories and hotspots through mobile phone data , 2014, Comput. Networks.
[44] Harvey J. Miller,et al. Modelling accessibility using space-time prism concepts within geographical information systems , 1991, Int. J. Geogr. Inf. Sci..
[45] Stephan Winter,et al. Directed movements in probabilistic time geography , 2010, Int. J. Geogr. Inf. Sci..
[46] Harvey J. Miller,et al. Time Geography , 2022, Encyclopedia of GIS.
[47] Feng Xia,et al. Big Trajectory Data: A Survey of Applications and Services , 2018, IEEE Access.
[48] Harvey J. Miller,et al. Time Geography and Space–Time Prism , 2017 .
[49] S. Karunasekera,et al. Measuring Similarity Between Mobility Models and Real World Motion Trajectories , 2014 .
[50] Takayuki Kanda,et al. Person Tracking in Large Public Spaces Using 3-D Range Sensors , 2013, IEEE Transactions on Human-Machine Systems.