Route classification in travel time estimation based on cellular network signaling. - David Gundlegård; Johan M. Karlsson (ITSC, 2009)

Evaluation of travel time estimation based on LWR-v and CTM-v: A case study in Stockholm. - Andreas Allstrom; David Gundlegård; Clas Rydergren (ITSC, 2012)

The smartphone as enabler for road traffic information based on cellular network signalling. - David Gundlegård; Johan M. Karlsson (ITSC, 2013)

Enabling reliable and secure IoT-based smart city applications. - Elias Z. Tragos; Vangelis Angelakis; Alexandros G. Fragkiadakis; David Gundlegård; Septimiu-Cosmin Nechifor; George C. Oikonomou; Henrich C. Pöhls; Anastasius Gavras (PerCom Workshops, 2014)

Travel Time and Point Speed Fusion Based on a Macroscopic Traffic Model and Non-linear Filtering. - David Gundlegård; Andreas Allstrom; Erik Bergfeldt; Alexandre M. Bayen; Rasmus Ringdahl (ITSC, 2015)

Travel demand estimation and network assignment based on cellular network data. - David Gundlegård; Clas Rydergren; Nils Breyer; Botond Rajna (Comput. Commun., 2016)

Trip extraction for traffic analysis using cellular network data. - Nils Breyer; David Gundlegård; Clas Rydergren; Johan Backman (MT-ITS, 2017)

Transport Analytics Based on Cellular Network Signalling Data. - David Gundlegård (2018)

Spatio-Temporal Public Transport Mode Share Estimation and Analysis Using Mobile Network and Smart Card Data. - Matej Cebecauer; David Gundlegård; Erik Jenelius; Wilco Burghout (ITSC, 2023)

Clustering in Before-After Studies of ITS Measures. - David Gundlegård; Ellen F. Grumert (ITSC, 2023)

Revealing representative day-types in transport networks using traffic data clustering. - Matej Cebecauer; Erik Jenelius; David Gundlegård; Wilco Burghout (J. Intell. Transp. Syst., 2024)

Link analysis through time series decomposition and clustering. - Henrik Fredriksson; David Gundlegård; Anna Danielsson; Clas Rydergren (ANT/EDI40, 2025)