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The study of human mobility is crucial due to its impact on several aspects of our society, such as disease spreading, urban planning, well-being, pollution, and more.
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Armando Bazzani, Bruno Giorgini, Sandro Rambaldi, Riccardo Gallotti, and Luca Giovannini. 2010 · 2010
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Mapping Large, Urban Environments with GPS-Aided SLAM
Justin David Carlson. 2010 · 2010
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Vessel traffic analysis for maritime Intelligent Transportation System. In 2010 IEEE 71st Vehicular Technology Conference . IEEE, 1–4
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Show me how you move and I will tell you who you are. In Proceedings of the 3rd ACM SIGSPATIAL International Workshop on Security and Privacy in GIS and LBS . 34–41
Sébastien Gambs, Marc-Olivier Killijian, and Miguel Núñez del Prado Cortez. 2010 · 2010
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Towards rich mobile phone datasets: Lausanne data collection campaign
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An individual-level ground truth dataset for home location detection
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Modelling the scaling properties of human mobility
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Limits of predictability in human mobility
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GeoLife: A collaborative social networking service among user, location and trajectory
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Friendship and mobility: user movement in location-based social networks. In Proceedings of the 17th ACM SIGKDD international conference on Knowledge discovery and data mining . 1082–1090
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A dataset to assess mobility changes in Chile following local quarantines
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A Tale of Many Cities: Universal Patterns in Human Urban Mobility
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Deep Gravity: enhancing mobility flows generation with deep neural networks and geographic information
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A universal model for mobility and migration patterns
Filippo Simini, Marta C. González, Amos Maritan, and Albert-László Barabási. 2012 · 2012
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Disaster risk and resilience
WMO UNISDR. 2012 · 2012
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Citi Bike System Data - NYC
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Exploring the mobility of mobile phone users
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Disaster resilience: A national imperative
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A Review of Urban Computing for Mobile Phone Traces: Current Methods, Challenges and Opportunities. In Proceedings of the 2nd ACM SIGKDD International Workshop on Urban Computing
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DP-WHERE: Differentially private modeling of human mobility. In 2013 IEEE International Conference on Big Data . 580–588
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Predicting taxi–passenger demand using streaming data
Luis Moreira-Matias, Joao Gama, Michel Ferreira, Joao Mendes-Moreira, and Luis Damas. 2013 · 2013
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Understanding the patterns of car travel
Luca Pappalardo, Salvatore Rinzivillo, Zehui Qu, Dino Pedreschi, and Fosca Giannotti. 2013 · 2013
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Unravelling daily human mobility motifs
Christian M. Schneider, Vitaly Belik, Thomas Couronné, Zbigniew Smoreda, and Marta C. González. 2013 · 2013
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CRAWDAD dataset roma/taxi (v. 2014-07-17)
Lorenzo Bracciale, Marco Bonola, Pierpaolo Loreti, Giuseppe Bianchi, Raul Amici, and Antonello Rabuffi. 2014 · 2014
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Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation. In Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP) . Association for Computational Linguistics, 1724–1734
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Dynamic population mapping using mobile phone data
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The purpose of motion: Learning activities from Individual Mobility Networks. In 2014 International Conference on Data Science and Advanced Analytics (DSAA) . 312–318
S. Rinzivillo, L. Gabrielli, M. Nanni, L. Pappalardo, D. Pedreschi, and F. Giannotti. 2014 · 2014
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Measuring Large-Scale Social Networks with High Resolution
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The effect of recency to human mobility
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Geo-Located Tweets. Enhancing Mobility Maps and Capturing Cross-Border Movement
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A survey of results on mobile phone datasets analysis
Vincent D. Blondel, Adeline Decuyper, and Gautier Krings. 2015 · 2015
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Trajectories of depression: unobtrusive monitoring of depressive states by means of smartphone mobility traces analysis. In Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing . 1293–1304
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Attention-based models for speech recognition. In Advances in neural information processing systems . 577–585
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Alexandre De Brébisson, Étienne Simon, Alex Auvolat, Pascal Vincent, and Yoshua Bengio. 2015 · 2015
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Data-driven human mobility modeling: a survey and engineering guidance for mobile networking
Andrea Hess, Karin Anna Hummel, Wilfried N Gansterer, and Günter Haring. 2015 · 2015
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Understanding Human Mobility from Twitter
Raja Jurdak, Kun Zhao, Jiajun Liu, Maurice AbouJaoude, Mark Cameron, and David Newth. 2015 · 2015
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Luca Pappalardo, Filippo Simini, Salvatore Rinzivillo, Dino Pedreschi, Fosca Giannotti, and Albert-László Barabási. 2015 · 2015
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Comparison of main approaches for extracting behavior features from crowd flow analysis
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COVID-19 outbreak response, a dataset to assess mobility changes in Italy following national lockdown
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