43 items found

Licenses: Academic Free License 3.0 Tags: Mobility mining

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  • Experiment

    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.
  • Dataset

    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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  • Dataset

    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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  • Dataset

    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.,...
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    Dataset

    Private 64-tiles tessellation of Manhattan

    Squared tessellation of the Manhattan district of NYC. The manhattan land zone (including small island) are tessellated into 64 squared tiles of equal dimension. More details on...
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    Dataset

    Private Synthetic Mobility Network of Chicago's bikes

    AI-generated mobility network represented daily flows of bike sharing vehicles in Chicago. The mobility network represent the flow among the tiles of a 64-tiles squared...
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    Dataset

    Private Synthetic Mobility Network of Chicago's taxis

    AI-generated mobility network represented daily flows of taxi rides in Chicago. The mobility network represent the flow among the tiles of a 64-tiles squared tessellation of the...
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    Dataset

    Private Synthetic Mobility Network of Manhattan's bikes

    AI-generated mobility network represented daily flows of bike sharing vehicles in Manhattan. The mobility network represent the flow among the tiles of a 64-tiles squared...
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    Dataset

    Private Synthetic Mobility Network of Manhattan's taxis

    AI-generated mobility network represented daily flows of taxi rides in Manhattan. The mobility network represent the flow among the tiles of a 64-tiles squared tessellation of...
  • Method

    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...
  • Dataset

    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...
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    Dataset

    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...
  • Method

    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...
  • Method

    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,...
  • Method

    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.
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    Method

    Private TraffiCO2: a simulative framework to assess navigation systems' impact on CO2...

    TraffiCO2 is a simulation framework to assess the impact of GPS navigation apps on urban well-being in terms of carbon dioxide (CO2) emissions. TraffiCO2 uses GPS data to...
  • Method

    Analysis of GPS data to assess changes in mobility routines during the COVID-...

    Non-Pharmaceutical Interventions (NPIs), aimed at reducing the diffusion of the COVID-19 pandemic, have dramatically influenced our everyday behaviour. In this experiment, we...
  • Method

    Generating Synthetic Mobility Networks with Generative Adversarial Networks

    The increasingly crucial role of human displacements in complex societal phenomena, such as traffic congestion, segregation, and the diffusion of epidemics, is attracting the...
  • Method

    Deep Gravity model

    Deep Gravity is an effective model to generate flow probabilities that exploits many features (e.g., land use, road network, transport, food, health facilities) extracted from...
  • Method

    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...
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