Learning and Simulation of Spatiotemporally Multi-scale Pedestrian Flow Model
Author:
Affiliation:
1. University of Tokyo, 7-3-1,Department of Mechano-informatics, Graduate School of Information Science and Technology,Hongo,Bunkyo-ku,Tokyo
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10557745/10557747/10557815.pdf?arnumber=10557815
Reference22 articles.
1. Social LSTM: Human Trajectory Prediction in Crowded Spaces
2. Pedestrian simulation considering stochastic route choice and multidirectional flow;Asano,2006
3. Reciprocal Velocity Obstacles for real-time multi-agent navigation
4. Motion Planning in Dynamic Environments Using Velocity Obstacles
5. Robots' Motion Planning in Human Crowds by Acceleration Obstacles
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