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Accurate human mobility prediction underpins many important applications across a variety of domains, including epidemic modelling, transport planning, and emergency responses.
Long short-term memory
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Learning significant locations and predicting user movement with gps
Daniel Ashbrook and Thad Starner · 2002
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Understanding individual human mobility patterns
Marta C Gonzalez, Cesar A Hidalgo, and Albert-Laszlo Barabasi · 2008
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Show me how you move and i will tell you who you are
Sébastien Gambs, Marc-Olivier Killijian, and Miguel Núñez del Prado Cortez · 2010
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Modelling the scaling properties of human mobility
Chaoming Song, Tal Koren, Pu Wang, and Albert-László Barabási · 2010
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Limits of predictability in human mobility
Chaoming Song, Zehui Qu, Nicholas Blumm, and Albert-László Barabási · 2010
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Geolife: A collaborative social networking service among user, location and trajectory
Yu Zheng, Xing Xie, Wei-Ying Ma, et al · 2010
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Next place prediction using mobility markov chains
Sébastien Gambs, Marc-Olivier Killijian, and Miguel Núñez del Prado Cortez · 2012
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Learning phrase representations using rnn encoder-decoder for statistical machine translation
Kyunghyun Cho, Bart Van Merriënboer, Caglar Gulcehre, Dzmitry Bahdanau, Fethi Bougares, Holger Schwenk, and Yoshua Bengio · 2014
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Modeling user activity preference by leveraging user spatial temporal characteristics in lbsns
Dingqi Yang, Daqing Zhang, Vincent W Zheng, and Zhiyong Yu · 2014
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Mining online footprints to predict user’s next location
Qunying Huang · 2017
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Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Łukasz Kaiser, and Illia Polosukhin · 2017
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Deepmove: Predicting human mobility with attentional recurrent networks
Jie Feng, Yong Li, Chao Zhang, Funing Sun, Fanchao Meng, Ang Guo, and Depeng Jin · 2018
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An lstm based system for prediction of human activities with durations
Kundan Krishna, Deepali Jain, Sanket V Mehta, and Sunav Choudhary · 2018
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The statistical physics of cities
Marc Barthelemy · 2019
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Modelling taxi drivers’ behaviour for the next destination prediction
Alberto Rossi, Gianni Barlacchi, Monica Bianchini, and Bruno Lepri · 2019
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Language models are few-shot learners
Tom Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared D Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, et al · 2020
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The effect of human mobility and control measures on the covid-19 epidemic in china
Moritz UG Kraemer, Chia-Hung Yang, Bernardo Gutierrez, Chieh-Hsi Wu, Brennan Klein, David M Pigott, Open COVID-19 Data Working Group†, Louis Du Plessis, Nuno R Faria, Ruoran Li, et al · 2020
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A hierarchical temporal attention-based lstm encoder-decoder model for individual mobility prediction
Fa Li, Zhipeng Gui, Zhaoyu Zhang, Dehua Peng, Siyu Tian, Kunxiaojia Yuan, Yunzeng Sun, Huayi Wu, Jianya Gong, and Yichen Lei · 2020
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Emergent abilities of large language models
Jason Wei, Yi Tay, Rishi Bommasani, Colin Raffel, Barret Zoph, Sebastian Borgeaud, Dani Yogatama, Maarten Bosma, Denny Zhou, Donald Metzler, et al · 2022
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Chain-of-thought prompting elicits reasoning in large language models
Jason Wei, Xuezhi Wang, Dale Schuurmans, Maarten Bosma, Fei Xia, Ed Chi, Quoc V Le, Denny Zhou, et al · 2022
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Automatic chain of thought prompting in large language models
Zhuosheng Zhang, Aston Zhang, Mu Li, and Alex Smola · 2022
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Yejin Bang, Samuel Cahyawijaya, Nayeon Lee, Wenliang Dai, Dan Su, Bryan Wilie, Holy Lovenia, Ziwei Ji, Tiezheng Yu, Willy Chung, et al · 2023
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Predictability and prediction of human mobility based on application-collected location data
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Analyzing movement predictability using human attributes and behavioral patterns
Adir Solomon, Amit Livne, Gilad Katz, Bracha Shapira, and Lior Rokach · 2021
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Mobtcast: Leveraging auxiliary trajectory forecasting for human mobility prediction
Hao Xue, Flora Salim, Yongli Ren, and Nuria Oliver · 2021
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Palm: Scaling language modeling with pathways
Aakanksha Chowdhery, Sharan Narang, Jacob Devlin, Maarten Bosma, Gaurav Mishra, Adam Roberts, Paul Barham, Hyung Won Chung, Charles Sutton, Sebastian Gehrmann, et al · 2022
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Cellular traffic prediction with machine learning: A survey
Weiwei Jiang · 2022
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Large language models are zero-shot reasoners
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Aggravated social segregation during the covid-19 pandemic: Evidence from crowdsourced mobility data in twelve most populated us metropolitan areas
Xiao Li, Xiao Huang, Dongying Li, and Yang Xu · 2022
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On the opportunities and challenges of foundation models for geospatial artificial intelligence
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Introducing chatgpt
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Is chatgpt a general-purpose natural language processing task solver?
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Llama: Open and efficient foundation language models
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Plan-and-solve prompting: Improving zero-shot chain-of-thought reasoning by large language models
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Tree of thoughts: Deliberate problem solving with large language models
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A survey of large language models
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