Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
Results
Showing 1 to 9 of 9 for “"GPS trajectories"”.
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Analysis of large GPS trajectories datasets via multi-agent techniques
… rise to several studies based on geospatial trajectories but, because of the large volume of the collected information, processing them together is usually difficult. In this thesis we illustrate an approach that, using a multi-agent system, provides personalized recommendations of Points Of …
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Improving the precision of toad network inference from GPS trajectories
… approaches to construct road network maps from GPS trajectories suffer from low precision, especially in dense urban areas and in regions with complex topologies such as overpasses and underpasses, parallel roads, and stacked roads. This work shows how to improve precision without sacrificing …
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Exploring Personalized Route Recommendation Based on Travel Behaviors of Historical GPS Trajectories
… from their historical Global Positioning System (GPS) trajectories. The Behavior-based Route Recommendation (BR²) method is proposed to compute personalized routes based exclusively on users’ travel preferences. The concepts of appearance and transition behaviors are defined to describe users’ …
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Semi-Supervised Deep Learning Approach for Transportation Mode Identification Using GPS Trajectory Data
… transportation modes purely based on their GPS trajectories. First, a segmentation process is developed to partition a user's trip into GPS segments with only one transportation mode. A majority of studies have proposed mode inference models based on hand-crafted features, which might be …
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Integration of GIS and machine learning techniques to investigate the impact of environmental contexts on travel modes
… have begun using global positioning system (GPS) trajectories of individuals to consider their daily paths for actual exposure estimation to various environments. Empirical findings in the existing studies, however, showed inconsistent outcomes of the associations. In addition, more advanced …
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Map Inference from Satellite Segmentation Data through Reinforcement Learning: A Novel Approach
… including satellite imagery and crowdsourced GPS trajectories. However, most of these algorithms use supervised learning and require hyperparameter tuning on a given location to be able to infer maps with high accuracy. In addition, these algorithms are trained for metrics like per-pixel loss …
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Application of Deep Learning in Intelligent Transportation Systems
… sources such as mobile phone sensors (e.g., GPS sensors) and social media networks (e.g., Twitter). Data mining and machine learning techniques are the major tools for analyzing the collected data and extracting useful knowledge on traffic conditions and mobility behaviors. Deep learning is …
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Spatial Computing Frameworks for Adaptive Disaster Response and Visual Place Recognition
… post-disaster scenario. Given a set of collected GPS trajectories per volunteer Proteus can combine them to obtain a single set of connected edges that represent the ground truth quickly and accurately, independent of how the data is collected. Precise geolocation on the Lunar surface is crucial …
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Spatiotemporal Big Data Analytics for Future Mobility
… the explosion of spatiotemporal big data (e.g. GPS trajectories, vehicle engine measurements, remote sensing imagery, and geotagged tweets) which has a potential to transform our societies. Terabytes of earth observation data are collected every day from thousands of places across the world. …