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MobilityDL: a review of deep learning from trajectory data
Trajectory data combines the complexities of time series, spatial data, and (sometimes irrational) movement behavior. As data availability and...
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Indexing spatiotemporal trajectory data streams on key-value storage
In a trajectory management system, moving objects are typically equipped with GPS devices to report their locations to a data store. Given the...
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Resisting TUL attack: balancing data privacy and utility on trajectory via collaborative adversarial learning
Nowadays, large-scale individual trajectories can be collected by various location-based social network services, which enables us to better...
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Spatio-temporal trajectory data modeling for fishing gear classification
International Organizations urge the protection of our oceans and their ecosystems due to their immeasurable importance to humankind. Since illegal...
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Trajectory Data Semi-fragile Watermarking Algorithm Considering Spatiotemporal Features
The high privacy and accuracy of trajectory data make data integrity and security critical. However, existing algorithms cannot ensure the integrity...
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A deep learning approach for transportation mode identification using a transformation of GPS trajectory data features into an image representation
Global positioning system data play a crucial role in comprehending an individual’s life due to its ability to provide geographic positions and...
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An A2-Gurobi algorithm for route recommendation with big taxi trajectory data
To address the problems of high fuel consumption and severe traffic congestion caused by blindly cruising, we propose a Gurobi optimization algorithm...
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Interfering Spatiotemporal Features and Causes of Bus Bunching using Empirical GPS Trajectory Data
Bus bunching refers to the phenomenon that several buses arrive at a station within a short period. It dramatically increases passengers’ waiting...
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Experiments and Analyses of Anonymization Mechanisms for Trajectory Data Publishing
With the advancing of location-detection technologies and the increasing popularity of mobile phones and other location-aware devices, trajectory...
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DUTD: A Deeper Understanding of Trajectory Data for User Identity Linkage
The widespread adoption of mobile devices and sensing technologies has significantly boosted the availability of trajectory data, thereby...
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Differential-Privacy Preserving Trajectory Data Publishing for Road Networks
In the sharing of user trajectory data of road networks, privacy leakage emerges to be a major concern because attackers may make aggressive...
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Mobility trajectory generation: a survey
Mobility trajectory data is of great significance for mobility pattern study, urban computing, and city science. Self-driving, traffic prediction,...
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SGAMTE-Net: A pedestrian trajectory prediction network based on spatiotemporal graph attention and multimodal trajectory endpoints
Predicting pedestrians' future trajectories is crucial in fields like autonomous driving and robotics. Pedestrian behavior is influenced by...
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SimiDTR: Deep Trajectory Recovery with Enhanced Trajectory Similarity
The pervasiveness of GPS-equipped smart devices and the accompanying deployment of sensing technologies generates increasingly massive amounts of...
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Optimizing Taxi Route Planning Based on Taxi Trajectory Data Analysis
In daily life, taxis have become one of the most common and convenient ways of public transportation. With the advancement of positioning and...
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Except-Condition Generative Adversarial Network for Generating Trajectory Data
Location data shared on social media is collected and processed as trajectory data, which exposes individuals to leakage of sensitive information,...
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Trajectory Clustering Analysis
In this chapter, we will introduce the development of trajectory clustering analysis. First, we review some related works on clustering of trajectory...
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Comparison of Geospatial Trajectory Clustering and Feature Trajectory Clustering for Public Transportation Trip Data
One of the techniques for the analysis of travel patterns on a public transport network is the clustering of the users movements, in order to...
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Reactive buffering window trajectory segmentation: RBW-TS
Mobility data of a moving object, called trajectory data, are continuously generated by vessel navigation systems, wearable devices, and drones, to...
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Transferable aircraft trajectory prediction with generative deep imitation learning
Trajectory-oriented transformations to air traffic management operations require high fidelity aircraft trajectory prediction capabilities....
