Human Mobility

Inferring Context of Mobile Data Crowdsensed in the Wild

Understanding the sensing context of raw data is crucial for assessing the quality of large crowdsourced spatio-temporal datasets. Accelerometer’s precision can vary considerably depending on whether the phone is in-pocket or out-pocket, i.e., held …

Detecting Mobile Crowdsensing Context in the Wild

Understanding the sensing context of raw data is crucial for assessing the quality of large crowdsourced spatio-temporal datasets. Detecting sensing contexts in the wild is a challenging task and requires features from smartphone sensors that are not …

Metro Stations

List of Metro stations around the world with underground tags.

Impact of Spatial Scale on Mobility Parameters

There is a huge body of work that focuses on the understanding of human mobility characteristics utilizing various types of data. These works focus on a spatial scale to extract mobility characteristics. In our work, we study the impact of spatial …

Delhi Fishnet

Fishnet corresponding to the region of Delhi.

Ile-de-France Fishnet

Fishnet corresponding to the region of ile de france region.

Towards Building Real-Time, Convenient Route Recommendation System for Public Transit

Public transportation is essential for sustainable and economical development of cities. Several transport organizations aim to provide service information to commuters through web and mobile apps. This information includes possible routes between …

MetroCognition App

Metro Cognition App.

QueryManager

Query Manager.

Leveraging CDR datasets for Context-Rich Performance Modeling of Large-Scale Mobile Pub/Sub Systems

Large-scale mobile environments are characterized by, among others, a large number of mobile users, intermittent connectivity and non-homogeneous arrival rate of data to the users, depending on the region's context. Multiple application scenarios in …