Publications de Antonin Danalet

Location choice with longitudinal WiFi data

Michel Bierlaire, Matthieu Marie Cochon de Lapparent, Antonin Danalet, Loïc Tinguely

Location-aware data collection technologies provide new insights about location choices. Only a few dynamic models of location choice exist in scientific literature. To our knowledge, none of them correct for serial correlation. In this paper, we model cho ...

University of Leeds2016

Increasing the Perspectives of Engineering Undergraduates on Societal Issues through an Interdisciplinary Program

Ambrogio Fasoli, Denis Gillet, Alexis Berne, Roland John Tormey, Ingrid Le Duc, Siara Ruth Isaac, Samuel Bendahan, Isabelle Barbara Marie-Hélène Cardia, Delphine Preissmann, Luca Bragazza

To tackle the challenges of the 21st century, future scientists and engineers have to understand the interplay between societal challenges and technical solutions as early as possible in their education. They also have to develop the communication and the ...

Tempus Publications2016

Location Choice With Longitudinal Wifi Data: Research Data

Michel Bierlaire, Matthieu Marie Cochon de Lapparent, Antonin Danalet, Loïc Tinguely

This document describes the softwares, data, models and raw results associated to: Danalet, A., Tinguely, L., Lapparent, M. d. and Bierlaire, M. (2016). Location choice with longitudinal WiFi data, Journal of Choice Modelling 18: 1–17. URL: https://dx.doi. ...

2015

Activity choice modeling for pedestrian facilities

Antonin Danalet

This thesis develops models of activity and destination choices in pedestrian facilities from WiFi traces. We adapt the activity-based travel demand analysis of urban mobility to pedestrians and to digital footprints. We are interested in understanding the ...

EPFL2015

A Bayesian Approach to Detect Pedestrian Destination-Sequences from WiFi Signatures

Michel Bierlaire, Bilal Farooq, Antonin Danalet

In this paper, we propose a methodology to use the communication network infrastructure, in particular WiFi traces, to detect the sequence of activity episodes visited by pedestrians. Due to the poor quality of WiFi localization, a probabilistic method is ...

2014

Towards an activity-based model for pedestrian facilities

Michel Bierlaire, Bilal Farooq, Antonin Danalet

This paper develops a framework for understanding pedestrian mobility pattern from WiFi traces and other data sources. It can be used to forecast demand for pedestrian facilities such as railway stations, music festivals, campus, airports, supermarkets or ...

2013