David Gundlegård

Associate Professor

Publications

2023

Jouni Lindberg, Fredrik Kokacka, David Gundlegård (2023) Terrängpejlen, CARER arbetsrapport: Pejlmetodik för checklistor

David Gundlegård, Rebecca Stenberg, Fredrik Kokacka, Jouni Lindberg (2023) Terrängpejlen, CARER arbetsrapport: nulägesanalys

Matej Cebecauer, Erik Jenelius, David Gundlegård, Wilco Burghout (2023) Revealing representative day-types in transport networks using traffic data clustering Journal of Intelligent Transportation Systems / Taylor & Francis

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Nikolaos Tsanakas, David Gundlegård, Clas Rydergren (2023) O-D matrix estimation based on data-driven network assignment Transportmetrica B: Transport Dynamics, Vol. 11, p. 376-407

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Rebecca Stenberg, Fredrik Kokacka, David Gundlegård, Jouni Lindberg, Sofie Pilemalm, Tobias Andersson Granberg (2023) Lokalisering i oländig terräng: Slutrapport Terrängpejlen-projektet

Research

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

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.