Peter Widhalm
TitleCited byYear
Discovering urban activity patterns in cell phone data
P Widhalm, Y Yang, M Ulm, S Athavale, MC González
Transportation 42 (4), 597-623, 2015
1162015
Transport mode detection with realistic smartphone sensor data
P Widhalm, P Nitsche, N Brändie
Proceedings of the 21st International Conference on Pattern Recognition …, 2012
962012
Supporting large-scale travel surveys with smartphones–A practical approach
P Nitsche, P Widhalm, S Breuss, N Brändle, P Maurer
Transportation Research Part C: Emerging Technologies 43, 212-221, 2014
952014
A strategy on how to utilize smartphones for automatically reconstructing trips in travel surveys
P Nitsche, P Widhalm, S Breuss, P Maurer
Procedia-Social and Behavioral Sciences 48, 1033-1046, 2012
742012
Estimating population density distribution from network-based mobile phone data
F Ricciato, P Widhalm, M Craglia, F Pantisano
Publications Office of the European Union, 2015
262015
Characterization of mobile phone localization errors with opencellid data
M Ulm, P Widhalm, N Brändle
2015 4th International Conference on Advanced Logistics and Transport (ICALT …, 2015
172015
Potential of low-frequency automated vehicle location data for monitoring and control of bus performance
Y Yang, D Gerstle, P Widhalm, D Bauer, M Gonzalez
Transportation Research Record 2351 (1), 54-64, 2013
152013
Fast hidden Markov model map-matching for sparse and noisy trajectories
H Koller, P Widhalm, M Dragaschnig, A Graser
2015 IEEE 18th International Conference on Intelligent Transportation …, 2015
142015
Computational radiology in skeletal radiography
P Peloschek, S Nemec, P Widhalm, R Donner, E Birngruber, ...
European journal of radiology 72 (2), 252-257, 2009
142009
Next-generation 3D visualization for visual surveillance
PM Roth, V Settgast, P Widhalm, M Lancelle, J Birchbauer, N Brändle, ...
2011 8th IEEE International Conference on Advanced Video and Signal Based …, 2011
132011
Learning major pedestrian flows in crowded scenes
P Widhalm, N Brandle
2010 20th International Conference on Pattern Recognition, 4064-4067, 2010
122010
Automatic assessment of the knee alignment angle on full-limb radiographs
N Fakhrai, P Widhalm, C Chiari, M Weber, G Langs, R Donner, H Ringl, ...
European journal of radiology 74 (1), 236-240, 2010
122010
Development of a real-time model of the occupancy of short-term parking zones
R Hössinger, P Widhalm, M Ulm, K Heimbuchner, E Wolf, R Apel, ...
International Journal of Intelligent Transportation Systems Research 12 (2 …, 2014
102014
Fcd in the real world–system capabilities and applications
A Graser, M Dragaschnig, W Ponweiser, H Koller, MS Marcinek, ...
Proc. 19th ITS World Congress, 7, 2012
102012
Identifying faulty traffic detectors with Floating Car Data
P Widhalm, H Koller, W Ponweiser
2011 IEEE Forum on Integrated and Sustainable Transportation Systems, 103-108, 2011
102011
Robust road link speed estimates for sparse or missing probe vehicle data
P Widhalm, M Piff, N Brändle, H Koller, M Reinthaler
2012 15th International IEEE Conference on Intelligent Transportation …, 2012
92012
Top in the Lab, Flop in the Field?: Evaluation of a Sensor-based Travel Activity Classifier with the SHL Dataset
P Widhalm, M Leodolter, N Brändle
Proceedings of the 2018 ACM International Joint Conference and 2018 …, 2018
72018
Beyond the “single-operator, CDR-only” paradigm: An interoperable framework for mobile phone network data analyses and population density estimation
F Ricciato, P Widhalm, F Pantisano, M Craglia
Pervasive and Mobile Computing 35, 65-82, 2017
72017
Assessing traffic performance using position density of sparse FCD
A Graser, W Ponweiser, M Dragaschnig, N Brändle, P Widhalm
2012 15th International IEEE Conference on Intelligent Transportation …, 2012
72012
Mobility sequence extraction and labeling using sparse cell phone data
Y Yang, P Widhalm, S Athavale, MC Gonzalez
Thirtieth AAAI Conference on Artificial Intelligence, 2016
32016
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Articles 1–20