David Gundlegård
David Gundlegård
Senior Lecturer in Mobile Communications, Linköping University
Verified email at
Cited by
Cited by
Handover location accuracy for travel time estimation in GSM and UMTS
D Gundlegård, JM Karlsson
IET Intelligent transport systems 3 (1), 87-94, 2009
Enabling reliable and secure IoT-based smart city applications
EZ Tragos, V Angelakis, A Fragkiadakis, D Gundlegard, CS Nechifor, ...
2014 IEEE International Conference on Pervasive Computing and Communication …, 2014
Travel demand estimation and network assignment based on cellular network data
D Gundlegård, C Rydergren, N Breyer, B Rajna
Computer Communications 95, 29-42, 2016
Hybrid approach for short-term traffic state and travel time prediction on highways
A Allström, J Ekström, D Gundlegård, R Ringdahl, C Rydergren, ...
Transportation Research Record 2554 (1), 60-68, 2016
Traffic management for smart cities
A Allström, J Barceló, J Ekström, E Grumert, D Gundlegård, C Rydergren
Designing, developing, and facilitating smart cities: urban design to IoT …, 2017
Mobile Millennium Stockholm
A Allström, J Archer, A Bayen, S Blandin, J Butler, D Gundlegård, ...
2nd International Conference on Models and Technologies for Intelligent …, 2011
Generating road traffic information from cellular networks-new possibilities in UMTS
D Gundlegard, JM Karlsson
2006 6th International conference on ITS telecommunications, 1128-1133, 2006
Comparative analysis of travel patterns from cellular network data and an urban travel demand model
N Breyer, C Rydergren, D Gundlegård
Journal of Advanced Transportation 2020, 1-17, 2020
Route classification in travel time estimation based on cellular network signaling
D Gundlegard, JM Karlsson
2009 12th International IEEE Conference on Intelligent Transportation …, 2009
Travel mode classification of intercity trips using cellular network data
N Breyer, D Gundlegård, C Rydergren
Transportation Research Procedia 52, 211-218, 2021
Calibration framework based on bluetooth sensors for traffic state estimation using a velocity based cell transmission model
A Allström, AM Bayen, M Fransson, D Gundlegård, AD Patire, ...
Transportation Research Procedia 3, 972-981, 2014
Road traffic estimation using cellular network signaling in intelligent transportation systems
D Gundlegård, JM Karlsson
Nova Science Publishers, 2009
Cellpath routing and route traffic flow estimation based on cellular network data
N Breyer, D Gundlegård, C Rydergren
Journal of Urban Technology 25 (2), 85-104, 2018
Cellular positioning using fingerprinting based on observed time differences
D Gundegård, A Akram, S Fowler, H Ahmad
2013 International Conference on Smart Communications in Network …, 2013
Transport analytics based on cellular network signalling data
D Gundlegård
Linköping University Electronic Press, 2018
The smartphone as enabler for road traffic information based on cellular network signalling
D Gundlegård, JM Karlsson
16th International IEEE Conference on Intelligent Transportation Systems …, 2013
Mobility modeling for transport efficiency: analysis of travel characteristics based on mobile phone data
V Angelakis, D Gundlegård, C Rydergren, B Rajna, K Vrotsou, R Carlsson, ...
Netmob 2013-Third International Conference on the Analysis of Mobile Phone …, 2013
Construction related urban disturbances: Identification and linking with an IoT-model
A Fredriksson, AA Sezer, V Angelakis, D Gundlegård
Automation in Construction 134, 104038, 2022
Travel time and point speed fusion based on a macroscopic traffic model and non-linear filtering
D Gundlegård, A Allström, E Bergfeldt, AM Bayen, R Ringdahl
2015 IEEE 18th international conference on intelligent transportation …, 2015
O–D matrix estimation based on data-driven network assignment
N Tsanakas, D Gundlegård, C Rydergren
Transportmetrica B: Transport Dynamics 11 (1), 376-407, 2023
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