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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... -
Carpooling
Carpooling, i.e., the act where two or more travelers share the same car for a common trip, is one of the possibilities brought forward to reduce traffic and its... -
Borders
It is a general method to determine the influence of social and mobility behavior over a specific geographical area in order to evaluate to what extent the current...-
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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... -
Carpooling Network Analysis
Our method analyzes the potential impact of carpooling as a collective phenomenon emerging from people׳s mobility, by network analytics. Based on big mobility data from... -
Estimation of emissions from vehicles' GPS trajectories
We used the mobility-emission methods (https://data.d4science.org/ctlg/ResourceCatalogue/mobility-emissions) to perform experiments on real GPS trajectories describing 433,272... -
GeoSim - Trajectory generator (integration in scikit-mobility)
GeoSim, proposed by Toole et al. [1], is a mechanistic generative model for human mobility. GeoSim takes into account the social dimension between individuals during the...-
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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... -
Short-Term Delayed Effects of Kinesio Taping on Sprint Cycling Performance
The aim of this study was to assess short-term delayed effects of Kinesio taping (KT) on maximal cycling performance. A design with repeated measures was used. Fifteen healthy... -
Origin Destination Matrix Computation
This method provides the sql-postgis query to calculate the Origin-Destination matrix starting from a geometry table and a set of GPS trajectories. This kind of matrix, which...-
sql
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sql
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Simulation of individual mobility using STS-EPR
In this experiment we simulate the mobility of individuals in New York City, London, and Tokyo, using STS-EPR. For each city, we compare the synthetic trajectories generated...-
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Evaluation of home location detection algorithms on three mobile phone record...
We created a dataset that comprises the mobile phone activity of sixty-five participants for whom the geographical coordinates of their residence location are known. The... -
Matlas - TClustering
Ordering points to identify the clustering structure (OPTICS) is an algorithm for finding density-based clusters in spatial data. Its basic idea is similar to DBSCAN, but it...-
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Exploration of time use by citizens based on their movement tracks
This resource consists of a visual analytics framework and a set of supporting tools for deriving place meaning and reconstructing personal mobility diaries from episodic...-
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rep
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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... -
Validation of the Deep Gravity model
We conducted experiments on mobility flows in England, Italy, and New York State to show that Deep Gravity achieves a significant increase in performance, especially in... -
Quantum Distance-Based Classifier
The Quantum Distance-Based Classifier is a technique inspired by the classical k-Nearest Neighbors that leverages quantum properties to perform prediction. -
Scikit-mobility
Scikit-mobility is a library for human mobility analysis in Python. The library allows to: represent trajectories and mobility flows with proper data structures, TrajDataFrame...-
URL
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Download mobility data with scikit-mobility
The data module of scikit-mobility provides users with an easy way to: 1) Download ready-to-use mobility data (e.g., trajectories, flows, spatial tessellations, and auxiliary...
