Intercity Simulation of Human Mobility at Rare Events via Reinforcement Learning-Reference-Cited by-同舟云学术

Intercity Simulation of Human Mobility at Rare Events via Reinforcement Learning

Published:2020-11-03 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 28th International Conference on Advances in Geographic Information Systems
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Author:

Pang Yanbo¹,Tsubouchi Kota²,Yabe Takahiro³,Sekimoto Yoshihide⁴

Affiliation:

1. Institute of Industrial Science, University of Tokyo, Meguro, Tokyo

2. Yahoo Japan Corporation, Chiyoda, Tokyo

3. Lyles School of Civil Engineering, Purdue University USA

4. Institute of Industrial Science, The University of Tokyo, Meguro, Tokyo

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3397536.3422244

Reference33 articles.

1. Human Activity Recognition on Smartphones Using a Multiclass Hardware-Friendly Support Vector Machine

2. CityCoupling

3. DeepMove

4. Marta C Gonzalez Cesar A Hidalgo and Albert-Laszlo Barabasi. 2008. Understanding individual human mobility patterns. nature 453 7196 (2008) 779--782. Marta C Gonzalez Cesar A Hidalgo and Albert-Laszlo Barabasi. 2008. Understanding individual human mobility patterns. nature 453 7196 (2008) 779--782.

5. Qi Han Theo Arentze Harry Timmermans Davy Janssens and Geert Wets. 2008. Modelling Context-Sensitive Dynamic Activity-Travel Behavior Under Conditions of Uncertainty Incorporating Reinforcement Learning Habit Formation And Behavioral and Cognitive Adaptation Strategies. Transportation Research Board. Qi Han Theo Arentze Harry Timmermans Davy Janssens and Geert Wets. 2008. Modelling Context-Sensitive Dynamic Activity-Travel Behavior Under Conditions of Uncertainty Incorporating Reinforcement Learning Habit Formation And Behavioral and Cognitive Adaptation Strategies. Transportation Research Board.

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