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Simulation of urban impact of navigation services
This experiment performs a simulation (using SUMO) of the urban impact of two navigation services (TomTom and OpenRoutingService) in the city of Milan, Italy. -
Shopping retail synthetic dataset (TVAE)
Synthetic shopping retail consumption data generated with TVAE. The dataset provides monthly information on the spending of synthetic customers belonging to two classes (i.e.,... -
Kinematic Features of Porto Taxi Trips
This dataset comprises tabular information related to the movement of taxis in the city of Porto, Portugal. For every taxi journey, we segmented the trajectory into 20...-
CSV
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CSV
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Synthetic Mobility Purpose Dataset
A synthetically generated dataset representing purpose-of-motion data in the format of individual mobility networks.-
ZIP
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ZIP
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Prediction of next career moves from scientific profiles
This is a two-stage predictive model for the mobility of scientists. First, data mining is used to predict which researcher will move in the next year on the basis of their... -
Car sharing dataset
The dataset comprises pickup and drop-off times and locations of vehicles in 10 European cities for one of the major free-floating car sharing operator. For nine of these... -
Private 64-tiles tessellation of Chicago
Squared tessellation of the city center of Chicago, Illinois, into 64 tiles. Tessellation only of the central part of Chicago, namely the neighborhoods 'LOOP', 'NEAR SOUTH... -
MyWay - Trajectory Prediction
MyWay is a prediction system which exploits the individual systematic behaviors modeled by mobility profiles to predict human movements. MyWay provides three strategies: the... -
Diary-based Trajectory Generator
Ditras (DIary-based TRAjectory Simulator) is a framework to simulate the spatio-temporal patterns of human mobility. It operates in two steps: the generation of a mobility... -
Influence of missing RR-Intervals caused by motion artifacts on HRV features ...
Wearable physiological monitors have become increasingly popular, often worn during people’s daily life, collecting data 24 hours a day, 7 days a week. In the last decade,... -
Ground truth evaluation of home location detection algorithms
Inferring mobile phone users' home location, i.e., assigning a location in space to a user based on data generated by the mobile phone network, is a central task in leveraging... -
Ski event participation trends and motivational profiles of women
Mass participation sporting events (MPSEs) are viewed as encouraging regular exercise in the population, but concerns have been expressed about the extent to which they are... -
Nowcasting well-being with human mobility data
This method describes an analytical framework to nowcast well-being by using mobility measures extracted from mobile phone data. -
Experiment for Mobility Constrained Segregation Models
We propose a segregation model incorporating mobility constraints to make agents select their location based on distance and location relevance. This study fills this gap by... -
Analysis of changes in visits to public venues during the COVID-19 pandemic
The non-pharmaceutical interventions (NPIs), aimed at reducing the diffusion of the COVID-19 pandemic, has dramatically influenced our behaviour in everyday life. We developed... -
M-Atlas
M-Atlas is a mobility querying and data mining system centered onto the concept of spatio-temporal data. Besides the mechanisms for storing and querying trajectory data,... -
STS-EPR - Trajectory generator
Modelling human mobility is crucial in several scientific areas, from urban planning to epidemic modeling, traffic forecasting, and what-if analysis. Existing models focus on...-
PDF
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text/x-python
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PDF
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Mobility Profile
This algorithm allows to create a mobility profile of the users' mobility. A mobility profile is a set of representative trips selected from the entire set of trips of a user. -
Matlas - Trajectory Builder
Trajectory Builder is an Algorithm to reconstruct trajectories from spatio-temporal observation according to specific user constraints.-
ZIP
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ZIP
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HTML
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ZIP
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Validation for MoGAN
We conduct extensive experiments on public datasets of bike and taxi rides to show that MoGAN outperforms the classical Gravity and Radiation models regarding the realism of...
