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Complete Trajectory Reconstruction from Sparse Mobile Phone Data


Complete trajectory reconstruction from sparse mobile phone data

A new technique that hinges on tensor factorization as a core method to complete individual CDR-based trajectories.

Complete Trajectory Reconstruction from Sparse Mobile Phone Data

Nevertheless, due to the uneven processes that govern mobile communications, the sampling of user locations provided by mobile phone data tends to be sparse and ...

Complete Trajectory Reconstruction from Sparse Mobile Phone Data

Mobile phone data are a popular source of positioning information in many recent studies that have largely improved our understanding of human mobility.

Complete Trajectory Reconstruction from Sparse Mobile Phone Data

Complete Trajectory Reconstruction from Sparse Mobile. Phone Data. Guangshuo Chen, Aline Carneiro Viana, Marco Fiore, Carlos Sarraute. To cite ...

Complete Trajectory Reconstruction from Sparse Mobile Phone Data

Nevertheless, due to the uneven processes that govern mobile communications, the sampling of user locations provided by mobile phone data tends ...

Complete trajectory reconstruction from sparse mobile phone data

Abstract Mobile phone data are a popular source of positioning information in many recent studies that have largely improved our understanding of human ...

Complete trajectory reconstruction from sparse mobile phone data

Mobile phone data are a popular source of positioning information in many recent studies that have largely improved our understanding of human mobility.

frequency mobile phone data - UW-Madison Geography

Sparse. Trajectories. Reconstructed. Trajectories. Fig. 1. The reconstruction process for the multi-criteria data partitioning trajectory reconstruction (MDP-TR) ...

Alessandro Vespignani on X: "Complete trajectory reconstruction ...

Complete trajectory reconstruction from sparse mobile phone data “Context-enhanced Trajectory Reconstruction, a new technique that hinges on ...

Reconstruction of human movement trajectories from large-scale ...

We present a method for reconstructing individuals' trajectories from mobile phone data. Our method introduces an anchor-point-based clustering algorithm to ...

Trajectory Estimation From Sparse Cellular Network Data Based on ...

This paper proposes a method to estimate sparse cellular data trajectories by reconstructing possible paths from the historical vehicular data.

Trajectory Estimation From Sparse Cellular Network Data Based on ...

Trajectory Estimation From Sparse Cellular Network Data Based on the Historical Vehicular Data ... Complete trajectory reconstruction from sparse mobile phone ...

OD-Matrix Extraction based on Trajectory Reconstruction from ...

... sparse trajectories that reflects different routes visits by mobile users. After reconstructing the complete cell-to-cell trajectories of users, the OD ...

Efficient Hidden Trajectory Reconstruction from Sparse Data

Total Citations2. Total Downloads544. Last 12 Months60. Last 6 weeks8 ... Trajectory data gathered by mobile positioning techniques and location-aware devices ...

Full Paper about “Trajectory Reconstruction” accepted at Computers ...

We propose a multi-criteria data partitioning trajectory reconstruction (MDP-TR) method for large-scale mobile phone data.

Fine-Grained Dynamic Population Mapping Method Based on Large ...

First, we developed an anchor-point-based trajectory reconstruction method to improve the spatiotemporal granularity of mobile phone trajectories. Then, a ...

Online Trajectory Estimation Based on a Network-Wide Cellular ...

... sparse location data. Besides HMM-based methods, advanced deep learning approaches were brought in the application of online map-matching of ...

Trajectory reconstruction from mobile positioning data using cell-to ...

This paper proposes a technique for improving the accuracy of mobile device movement trajectory reconstruction using passive mobile positioning data.

Optimal sequencing budget allocation for trajectory reconstruction of ...

... sparse, and high-dimensional nature of single-cell data. This ... complete data and the subsampled data. To compute the pairwise ...

Refining Sparse Cell‐ID Trajectory of Public Service Vehicles by ...

Mobile phone data have become a critical data source for transportation research. While a cell-id trajectory was routinely reorganized by ...