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David Gundlegård

Associate Professor

Publications

2025

Nicolas Brusselaers, Samuel Hjorth, Anna Fredriksson, David Gundlegård (2025) The potential of machine learning modeling to predict urban construction transport demand Smart and Sustainable Built Environment (Article in journal) Continue to DOI

2024

David Gundlegård, Clas Rydergren, Malin Andersson, Joakim Ahlberg, Marian Codreanu, Joachim Johansson, Anders Sjöholm, Nikolaos Tsanakas, Guang Wei, Susanna Sjöstrand (2024) Continuous travel demand and link flow estimation based on GPS data (CODE PROBE): Final report
Nicolas Brusselaers, Anna Fredriksson, David Gundlegård, R. Zernis (2024) Decision support for improved construction traffic management and planning Sustainable cities and society, Vol. 104, Article 105305 (Article in journal) Continue to DOI
Anna Danielsson, David Gundlegård, Clas Rydergren (2024) Analysis of Route Sets and Attributes in Route Choice Estimation for Urban Traffic Management Using GPS Data Proceedings of the 103rd Transportation Research Board Annual Meeting (Conference paper)
Matej Cebecauer, Erik Jenelius, David Gundlegård, Wilco Burghout (2024) Revealing representative day-types in transport networks using traffic data clustering Journal of Intelligent Transportation Systems / Taylor & Francis, Vol. 28, p. 695-718 (Article in journal) Continue to DOI

Research

Sweden countryside.

SuRuMo – sustainable travel in rural areas

In the EU project Sustainable Rural Mobility (SuRuMo), we focus on achieving more sustainable travel in rural areas through cooperation between different actors, both public and private, as well as new tools to understand travel patterns.
Cellphone with map view next to the steering wheel of a car

Transport Analytics

We are currently working with data from stationary radar sensors which measure speed and flow of traffic, GPS data from vehicles driving around urban areas, and mobile phone location data extracted from the mobile phone network.

News

A figure.

Five LiU projects on the IVA 100 list

Five research projects from Linköping University are included in the Royal Swedish Academy of Engineering Sciences (IVA), 100 list this year.
Emma Persson, Ina Eriksson, Lina Fredriksson and Mirna Baaoth

Students looking for a missing person in Kolmården Wildlife Park

Someone’s lost in the Kolmården Forest and around 40 students must find him before he wanders into the elephant enclosure. They are using the electronic footprints he has made. Can they manage it? Indeed they can – and it doesn’t take them long.

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