Gathering data about pedestrian origin, destination and route is difficult, particularly indoor
and on a large scale. These data are important for route choice modeling, description of …

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 …

My master thesis proposes a general methodology to model pedestrian destination choice
from WiFi localization in multimodal transport facilities (eg, airports, railway stations). It is …

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 …

City governments all over the world face challenges understanding mobility patterns within
dense urban environments at high spatial and temporal resolution. While such measures …

Accurate information about how people commonly travel in a given large-scale building
environment and which routes they take for given start and destination points is essential for …

Indoor localization is used to locate objects and people within buildings where outdoor
tracking tools and technologies cannot provide precise results. This paper aims to improve …

Monitoring nonmotorized traffic is gaining more attention in the context of transportation
studies. Most of the traditional pedestrian monitoring technologies focus on counting …

Large scale automated data collection on the movement and activities of pedestrians is a
challenging problem. In a previous work we developed a network of cheap sensors that can …

The fact that almost every person owns a smartphone device that can be precisely located is
both empowering and worrying. If methods for accurate tracking of devices (and their …