SoK: Differentially private publication of trajectory data
À Miranda-Pascual, P Guerra-Balboa… - Proceedings on …, 2023 - petsymposium.org
Trajectory analysis holds many promises, from improvements in traffic management to
routing advice or infrastructure development. However, learning users' paths is extremely …
routing advice or infrastructure development. However, learning users' paths is extremely …
Browsing behavior modeling and browsing interest extraction in the trajectories on web map service platforms
G Dong, R Li, H Wu, W Chen, W Huang… - Expert Systems with …, 2022 - Elsevier
Mining the browsing behavior on the web map service platforms (WMSPs) can help to
understand the users' access intentions and provide recommendations. Although WMSPs …
understand the users' access intentions and provide recommendations. Although WMSPs …
Pseudo-PFLOW: Development of nationwide synthetic open dataset for people movement based on limited travel survey and open statistical data
People flow data are utilized in diverse fields such as urban and commercial planning and
disaster management. However, people flow data collected from mobile phones, such as …
disaster management. However, people flow data collected from mobile phones, such as …
[HTML][HTML] Decentralized k-anonymization of trajectories via privacy-preserving tit-for-tat
Mobility data, and specifically trajectories, are used to monitor the mobility of the population
and are crucial to improve public health, transportation, urban planning, economic planning …
and are crucial to improve public health, transportation, urban planning, economic planning …
Mobility networks in Greater Mexico City
M Flores-Garrido, G de Anda-Jáuregui, P Guzmán… - Scientific Data, 2024 - nature.com
Based on more than 11 billion geolocated cell phone records from 33 million different
devices, daily mobility networks were constructed over a 15-month period for Greater Mexico …
devices, daily mobility networks were constructed over a 15-month period for Greater Mexico …
Generating a synthetic probabilistic daily activity-location schedule using large-scale, long-term and low-frequency smartphone GPS data with limited activity …
Household travel survey data is a critical input to travel behavior modeling, and it also can
be used to generate trip schedules for activity-based traffic simulation. With emerging …
be used to generate trip schedules for activity-based traffic simulation. With emerging …
Forecasting traffic volume at a designated cross-section location on a freeway from large-regional toll collection data
Both road users and administrators are keen to know the traffic volume at the arbitrary point
on the road network. In China, charging systems have been fully established in closed large …
on the road network. In China, charging systems have been fully established in closed large …
Exploring neural network hidden layer activity using vector fields
Deep Neural Networks are known for impressive results in a wide range of applications,
being responsible for many advances in technology over the past few years. However …
being responsible for many advances in technology over the past few years. However …
Modeling and characterization of traffic flow patterns and identification of airspace density for UTM application
AA Alharbi, I Petrunin, D Panagiotakopoulos - IEEE Access, 2022 - ieeexplore.ieee.org
Current airspace has limited resources, and the widespread use of unmanned aerial
vehicles (UAVs) increases airspace density, which is already crowded with manned aircraft …
vehicles (UAVs) increases airspace density, which is already crowded with manned aircraft …
RcDT: Privacy preservation based on R-constrained dummy trajectory in mobile social networks
J Zhang, X Wang, Y Yuan, L Ni - IEEE Access, 2019 - ieeexplore.ieee.org
The boom of mobile devices and location-based services (LBSs) greatly enriches the mobile
social network (MSN) applications, which bring convenience to our daily life and …
social network (MSN) applications, which bring convenience to our daily life and …