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Discovering urban activity patterns in cell phone data, , , , and . Transportation, 42 (4): 597--623 (2015)Beyond the "single-operator, CDR-only" paradigm: An interoperable framework for mobile phone network data analyses and population density estimation., , , and . Pervasive Mob. Comput., (2017)Development of a Real-Time Model of the Occupancy of Short-Term Parking Zones., , , , , , and . Int. J. Intelligent Transportation Systems Research, 12 (2): 37-47 (2014)Assessing traffic performance using position density of sparse FCD., , , , and . ITSC, page 1001-1005. IEEE, (2012)Learning Major Pedestrian Flows in Crowded Scenes., and . ICPR, page 4064-4067. IEEE Computer Society, (2010)Tackling the SHL recognition challenge with phone position detection and nearest neighbour smoothing., , , and . UbiComp/ISWC Adjunct, page 359-363. ACM, (2020)Robust road link speed estimates for sparse or missing probe vehicle data., , , , and . ITSC, page 1693-1697. IEEE, (2012)The M³ massive movement model: a distributed incrementally updatable solution for big movement data exploration., , and . Int. J. Geogr. Inf. Sci., 34 (12): 2517-2540 (2020)Into the Wild - Avoiding Pitfalls in the Evaluation of Travel Activity Classifiers., , and . Human Activity Sensing, Springer, (2019)Fast Hidden Markov Model Map-Matching for Sparse and Noisy Trajectories., , , and . ITSC, page 2557-2561. IEEE, (2015)