Document type
Bachelor thesisPublication date
Publication license
Please use this identifier to cite or link to this item: https://hdl.handle.net/2445/141559
Main statistical features for building a pedestrian mobility model
Journal Title
Authors
Director/Tutor
Journal ISSN
Volume Title
Related resource
Abstract
We study the GPS data set of a collection of 260 students from up to 10 schools in the Barcelona Metropolitan Area on their trip from house to school. Participants collected the data with the help of a mobile application. After visualizing and cleaning the data, the main dynamical properties have been studied. We firstly study the difuusion of the movement and then we describe the instantaneous velocity with a log-Normal distribution, proposing a stochastic process to model it. We also obtain two typical stopping times for participants' stops duration. In addition, we calculate the orientation of the movement for each school and for the entire data set. Finally, we describe the change of orientation with a family of symmetric distributions on the circle, comparing the results for the different schools. We thus provide a first analysis to very valuable data to model pedestrian mobility with specific origin-destination journeys. Results found can also help to improve urban planing in the schools surroundings.
Description
Treballs Finals de Grau de Física, Facultat de Física, Universitat de Barcelona, Curs: 2019, Tutor: Josep Perelló Palou
Subject (English)
Citation
Collections
Citation
LARROYA PAIXÀ, Ferran. Main statistical features for building a pedestrian mobility model. [consulted: 10 of June of 2026]. Available at: https://hdl.handle.net/2445/141559