10 citations · 16 across the 8 of their papers we have counts for
10 papers
Analyzing privacy-aware mobility behavior using the evolution of spatio-temporal entropy
Arielle Moro, Benoît Garbinato, Valérie Chavez-Demoulin
Analyzing mobility behavior of users is extremely useful to create or improve existing services. Several research works have been done in order to study mobility behavior of users…
20 Years of Mobility Modeling & Prediction: Trends, Shortcomings & Perspectives
Vaibhav Kulkarni, Benoit Garbinato
In this paper, we present a comprehensive survey of human-mobility modeling based on 1680 articles published between 1999 and 2019, which can serve as a roadmap for research and pr…
Breadcrumbs: A Feature Rich Mobility Dataset with Point of Interest Annotation
Arielle Moro, Vaibhav Kulkarni, Pierre-Adrien Ghiringhelli +2
In this paper, we present Breadcrumbs, a mobility dataset collected in the city of Lausanne (Switzerland) from multiple mobile phone sensors (GPS, WiFi, Bluetooth) from 81 users fo…
Generative Models for Simulating Mobility Trajectories
Vaibhav Kulkarni, Natasa Tagasovska, Thibault Vatter +1
Mobility datasets are fundamental for evaluating algorithms pertaining to geographic information systems and facilitating experimental reproducibility. But privacy implications res…
On the Inability of Markov Models to Capture Criticality in Human Mobility
Vaibhav Kulkarni, Abhijit Mahalunkar, Benoit Garbinato +1
We examine the non-Markovian nature of human mobility by exposing the inability of Markov models to capture criticality in human mobility. In particular, the assumed Markovian natu…
Addressing the Free-Rider Problem in Public Transport Systems
Vaibhav Kulkarni, Bertil Chapuis, Benoît Garbinato +1
Public transport network constitutes for an indispensable part of a city by providing mobility services to the general masses. To improve ease of access and reduce infrastructural…