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Trajectory Data Classification
ACM Transactions on Intelligent Systems and Technology, 2019This article comprehensively surveys the development of trajectory data classification. Considering the critical role of trajectory data classification in modern intelligent systems for surveillance security, abnormal behavior detection, crowd behavior analysis, and traffic control, trajectory data classification has attracted growing attention ...
Jiang Bian +3 more
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Trajectory Data Pattern Mining
2014In this paper, we study the problem of mining for frequent trajectories, which is crucial in many application scenarios, such as vehicle traffic management, hand-off in cellular networks, supply chain management. We approach this problem as that of mining for frequent sequential patterns.
Masciari E, Shi Gao, Carlo Zaniolo
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2013
The previous chapter focused on the analysis of the spatial features of static objects such as stores, cities, or states, where by static we mean that the spatial features of these objects do not change (or change exceptionally) across time. However, there is a wide range of applications that require the analysis of the so-called moving objects, that ...
Vaisman, Alejandro Ariel +1 more
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The previous chapter focused on the analysis of the spatial features of static objects such as stores, cities, or states, where by static we mean that the spatial features of these objects do not change (or change exceptionally) across time. However, there is a wide range of applications that require the analysis of the so-called moving objects, that ...
Vaisman, Alejandro Ariel +1 more
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ACM Transactions on Intelligent Systems and Technology, 2015
The advances in location-acquisition and mobile computing techniques have generated massive spatial trajectory data, which represent the mobility of a diversity of moving objects, such as people, vehicles, and animals. Many techniques have been proposed for processing, managing, and mining trajectory data in the past decade, fostering a ...
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The advances in location-acquisition and mobile computing techniques have generated massive spatial trajectory data, which represent the mobility of a diversity of moving objects, such as people, vehicles, and animals. Many techniques have been proposed for processing, managing, and mining trajectory data in the past decade, fostering a ...
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Proceedings of the 24th ACM International on Conference on Information and Knowledge Management, 2015
The increasing prevalence of sensors and mobile devices has led to an explosive increase of the scale of spatio-temporal data in the form of trajectories. A trajectory aggregate query, as a fundamental functionality for measuring trajectory data, aims to retrieve the statistics of trajectories passing a user-specified spatio-temporal region.
Yanhua Li +7 more
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The increasing prevalence of sensors and mobile devices has led to an explosive increase of the scale of spatio-temporal data in the form of trajectories. A trajectory aggregate query, as a fundamental functionality for measuring trajectory data, aims to retrieve the statistics of trajectories passing a user-specified spatio-temporal region.
Yanhua Li +7 more
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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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