Handover location accuracy for travel time estimation in GSM and UMTS D Gundlegård, JM Karlsson IET Intelligent transport systems 3 (1), 87-94, 2009 | 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 | 72 | 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 | 71 | 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 | 47 | 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 | 25 | 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 | 24 | 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 | 19 | 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 | 15 | 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 | 15 | 2009 |
Travel mode classification of intercity trips using cellular network data N Breyer, D Gundlegård, C Rydergren Transportation Research Procedia 52, 211-218, 2021 | 14 | 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 | 14 | 2014 |
Road traffic estimation using cellular network signaling in intelligent transportation systems D Gundlegård, JM Karlsson Nova Science Publishers, 2009 | 14 | 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 | 13 | 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 | 12 | 2013 |
Transport analytics based on cellular network signalling data D Gundlegård Linköping University Electronic Press, 2018 | 9 | 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 | 9 | 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 | 8 | 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 | 7 | 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 | 7 | 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 | 6 | 2023 |