Handover location accuracy for travel time estimation in GSM and UMTS D Gundlegård, JM Karlsson IET Intelligent Transport Systems 3 (1), 87-94, 2009 | 90 | 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 | 50 | 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 | 36 | 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 | 23 | 2016 |
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 | 23 | 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 | 17 | 2006 |
Route classification in travel time estimation based on cellular network signaling D Gundlegard, JM Karlsson 2009 12th International IEEE Conference on Intelligent Transportation …, 2009 | 14 | 2009 |
Traffic management for smart cities A Allström, J Barceló, J Ekström, E Grumert, D Gundlegård, C Rydergren Designing, developing, and facilitating smart cities, 211-240, 2017 | 12 | 2017 |
Road traffic estimation using cellular network signaling in intelligent transportation systems D Gundlegård, JM Karlsson Nova Science Publishers, 2009 | 12 | 2009 |
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 | 11 | 2014 |
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 | 11 | 2013 |
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 | 8 | 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 |
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 | 7 | 2018 |
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 |
Automotive telematics services based on cell broadcast D Gundlegård Institutionen för teknik och naturvetenskap, 2003 | 6 | 2003 |
Evaluation of travel time estimation based on LWR-v and CTM-v: A case study in Stockholm A Allström, D Gundlegård, C Rydergren 2012 15th International IEEE Conference on Intelligent Transportation …, 2012 | 5 | 2012 |
Travel demand analysis with differential private releases D Gundlegård, C Rydergren, J Barcelo, N Dokoohaki, A Hess, ... Netmob 2015-Fourth International Conference on the Analysis of Mobile Phone …, 2015 | 4 | 2015 |
Resestatistik för långväga resor baserat på aggregerade och anonymiserade mobilnätsdata D Gundlegård, C Rydergren Linköpings Universitet, 2018 | 3 | 2018 |
Autonomous Cellular Road User Charging based on Unique Cell Point Identification MD Mileros, D Gundlegård, J Karlsson, A Fürdös Proceedings of the 15th World Congress on ITS and ITS America's 2008 Annual …, 2008 | 3 | 2008 |