Intercity Simulation of Human Mobility at Rare Events via Reinforcement Learning
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Yoshihide Sekimoto | Kota Tsubouchi | Takahiro Yabe | Yanbo Pang | Y. Sekimoto | T. Yabe | K. Tsubouchi | Y. Pang
[1] Xing Xie,et al. Mining interesting locations and travel sequences from GPS trajectories , 2009, WWW '09.
[2] Alec Radford,et al. Proximal Policy Optimization Algorithms , 2017, ArXiv.
[3] Andrew Y. Ng,et al. Pharmacokinetics of a novel formulation of ivermectin after administration to goats , 2000, ICML.
[4] Davide Anguita,et al. Human Activity Recognition on Smartphones Using a Multiclass Hardware-Friendly Support Vector Machine , 2012, IWAAL.
[5] Yoshihide Sekimoto,et al. Trip reconstruction and transportation mode extraction on low data rate GPS data from mobile phone , 2013 .
[6] Yoshihide Sekimoto,et al. Replicating urban dynamics by generating human-like agents from smartphone GPS data , 2018, SIGSPATIAL/GIS.
[7] Davy Janssens,et al. Modeling Context-Sensitive Dynamic Activity-Travel Behavior Under Conditions of Uncertainty Incorporating Reinforcement Learning, Habit Formation, and Behavioral and Cognitive Adaptation Strategies , 2008 .
[8] Li Song,et al. What is the Human Mobility in a New City: Transfer Mobility Knowledge Across Cities , 2020, WWW.
[9] Xuan Song,et al. CityCoupling: bridging intercity human mobility , 2016, UbiComp.
[10] Albert-László Barabási,et al. Understanding individual human mobility patterns , 2008, Nature.
[11] Pratap S. Prasad,et al. Movement Prediction in Wireless Networks Using Mobility Traces , 2010, 2010 7th IEEE Consumer Communications and Networking Conference.
[12] Qiang Yang,et al. Transfer Knowledge between Cities , 2016, KDD.
[13] Bernhard Schölkopf,et al. Domain Generalization via Invariant Feature Representation , 2013, ICML.
[14] Albert-László Barabási,et al. Limits of Predictability in Human Mobility , 2010, Science.
[15] Jan Peters,et al. Reinforcement learning in robotics: A survey , 2013, Int. J. Robotics Res..
[16] Yoshihide Sekimoto,et al. City2City: Translating Place Representations across Cities , 2019, SIGSPATIAL/GIS.
[17] Jean-François Paiement,et al. A Generative Model of Urban Activities from Cellular Data , 2018, IEEE Transactions on Intelligent Transportation Systems.
[18] Xuan Song,et al. DeepUrbanMomentum: An Online Deep-Learning System for Short-Term Urban Mobility Prediction , 2018, AAAI.
[19] Richard S. Sutton,et al. Reinforcement Learning: An Introduction , 1998, IEEE Trans. Neural Networks.
[20] Yoshihide Sekimoto,et al. Predicting irregular individual movement following frequent mid-level disasters using location data from smartphones , 2016, SIGSPATIAL/GIS.
[21] Xin Wu,et al. Hierarchical travel demand estimation using multiple data sources: A forward and backward propagation algorithmic framework on a layered computational graph , 2018, Transportation Research Part C: Emerging Technologies.
[22] Marta C. González,et al. The path most traveled: Travel demand estimation using big data resources , 2015, Transportation Research Part C: Emerging Technologies.
[23] Xuan Song,et al. Prediction of human emergency behavior and their mobility following large-scale disaster , 2014, KDD.
[24] Yoshihide Sekimoto,et al. CityFlowFragility: Measuring the Fragility of People Flow in Cities to Disasters using GPS Data Collected from Smartphones , 2017, Proc. ACM Interact. Mob. Wearable Ubiquitous Technol..
[25] Xuan Song,et al. DeepTransport: Prediction and Simulation of Human Mobility and Transportation Mode at a Citywide Level , 2016, IJCAI.
[26] Chao Zhang,et al. DeepMove: Predicting Human Mobility with Attentional Recurrent Networks , 2018, WWW.
[27] Anind K. Dey,et al. Maximum Entropy Inverse Reinforcement Learning , 2008, AAAI.
[28] Yoshihide Sekimoto,et al. Open PFLOW: Creation and evaluation of an open dataset for typical people mass movement in urban areas , 2017 .
[29] Feng Liu,et al. Cross-City Transfer Learning for Deep Spatio-Temporal Prediction , 2018, IJCAI.
[30] Yoshihide Sekimoto,et al. Development of people mass movement simulation framework based on reinforcement learning , 2020 .
[31] Tie-Yan Liu,et al. Sequential Click Prediction for Sponsored Search with Recurrent Neural Networks , 2014, AAAI.
[32] Xing Xie,et al. Learning transportation mode from raw gps data for geographic applications on the web , 2008, WWW.
[33] Yiliang Xiong. Modelling individual and household activity : travel scheduling behaviours in stochastic transportation networks , 2014 .