In this paper, we aim at exploiting that movements occur in transportation networks to reduce the dimensionality of the data.
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The technique uses indices for the processing of spatiotemporal range queries on trajectories. If object movement is constrained by the presence of ...
Oct 18, 2023 · A dimension-reduced and linearly ordered (DRLOP) index structure for network-constrained moving objects is proposed to address the ...
Indexing of Constrained Moving Objects for Current and Near Future ...
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Abstract: In geographic information system (GIS), fast and efficiently indexing moving objects are a crucial issue in several application domains, ...
In this work, we lower the dimensionality of the trajectories by exploiting that the objects are constrained to a transportation network. This allows for a ...
The constrained move- ment is a special and a very important case of object movement. For example, cars move in roads and trains in railroads. In this paper we ...
To solve this problem, we propose a new index method, network-constrained Moving Object Sketched-Trajectory R-Tree (MOSTR-Tree) in this paper, which outperforms ...
Constrained movement is a special and a very important case of object movement. For example, cars move in roads and trains in railroads. In this paper we ...
In this paper we propose a new index structure for moving objects on networks, the MON-Tree. We describe two network models that can be indexed by the MON-Tree.
We propose SPNET, which we believe is the first in-memory index for network-constrained trajectory data. To exploit the main-memory setting SPNET exploits ...