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2021
The task of trajectory data map-matching is important and often a prerequisite step towards the provision of smart urban services. Such task is challenging mainly because of the positioning error caused by GPS devices and the uncertainty between two GPS point samples.
Chao Chen +3 more
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The task of trajectory data map-matching is important and often a prerequisite step towards the provision of smart urban services. Such task is challenging mainly because of the positioning error caused by GPS devices and the uncertainty between two GPS point samples.
Chao Chen +3 more
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Vehicle trajectory data warehouse
Proceedings of the Second International Conference on Internet of things, Data and Cloud Computing, 2017The continuous evolution of mobile applications and the ubiquitous positioning devises generate huge amount of trajectory data related to moving objects. The data is stored into trajectory data warehouse which is the best repository that can deal with spatiotemporal data. In this work, we take as example of moving object the vehicles. The corresponding
Nouha Arfaoui, Jalel Akaichi
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Querying Trajectory Data Warehouses
2009 First International Confernce on Advances in Databases, Knowledge, and Data Applications, 2009With the fast development in mobile and communication technology, the need for moving object databases increases. Moving object databases constitute a major ingredient in many applications that are location sensitive. Traffic control, fleet management, m-commerce, and E-911 are among those emerging location based services (LBSs).
Hoda M. O. Mokhtar, Gihan Mahmoud
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Private Trajectory Data Publication for Trajectory Classification
2019Trajectory classification (TC), i.e., predicting the class labels of moving objects based on their trajectories and other features, has many important real-world applications. Private trajectory data publication is to anonymize trajectory data, which can be released to the public or third parties.
Huaijie Zhu +4 more
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Chaotic maps derived from trajectory data
Chaos: An Interdisciplinary Journal of Nonlinear Science, 2002We assume that we have the following information from observed trajectory data about a discrete time dynamical process: (1) a rough graph of the phase plot, (2) the probability density function and (3) the metric entropy. We describe a method for constructing a nonlinear map whose graph is “within” the rough graph of the phase plot, and which has the ...
Boyarsky, Abraham, Góra, Paweł
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Trajectory estimation from place cell data
Neural Networks, 2001We consider the problem of propagating the conditional probability density associated with the movement parameters (position, heading, velocity, etc.) of an animal, given the responses of an ensemble of place cells. While we are not the first to look at this question, ours seems to be the first treatment that incorporates a general Markov process model
N, Twum-Danso, R, Brockett
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Towards Trajectory Data Warehouses
2008Data warehouses have received the attention of the database community as a technology for integrating all sorts of transactional data, dispersed within organisations whose applications utilise either legacy (non-relational) or advanced relational database systems.
PELEKIS N +7 more
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Spatio-temporal Aggregations in Trajectory Data Warehouses [PDF]
, 2007 In this paper we investigate some issues related to the design of a simple Data Warehouse (DW), storing several aggregate measures about trajectories of moving objects. First we discuss the loading phase of our DW which has to deal with overwhelming streams of trajectory observations, possibly produced at different rates, and arriving in an ...
ORLANDO, Salvatore +4 more
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Sampling Big Trajectory Data for Traversal Trajectory Aggregate Query
IEEE Transactions on Big Data, 2019This paper defines and investigates a novel trajectory query, namely, Traversal Trajectory Aggregate (TTA) Query: Given a trajectory database and a pair of upstream and downstream spatio-temporal (ST) regions (i.e., spatial area coupled with a time interval), a TTA query aims to retrieve the total number of unique trajectories that traverse through ...
Yichen Ding +5 more
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Automated trajectory synthesis from animation data using trajectory optimization
2009 IEEE International Conference on Automation Science and Engineering, 2009Trajectory optimization is a technique for finding dynamically feasible trajectories of a mechanical system that approximate a desired trajectory. These tools provide an excellent abstraction from a system's dynamics, allowing a user to animate a robot without considering dynamic complexities, including coupling, instability, and uncontrollable ...
Elliot R. Johnson, Todd D. Murphey
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