TY - GEN
T1 - Optimization of merging pedestrian flows based on adaptive dynamic programming
AU - Jiang, Chao
AU - Guo, Yi
AU - Ni, Zhen
AU - He, Haibo
N1 - Publisher Copyright:
© 2019 American Automatic Control Council.
PY - 2019/7
Y1 - 2019/7
N2 - Pedestrian flows in densely-populated areas may cause crowd accidents, and effective pedestrian flow regulation is highly desirable for flow optimization. In this paper, we investigate the problem of regulating two merging pedestrian flows by introducing a mobile robot moving within the flow. The pedestrian flows are regulated through dynamic human-robot interaction during their collective motion. We propose a method based on adaptive dynamic programming (ADP) to learn the optimal motion control of the robot in real time and the pedestrian outflow through the bottleneck area is maximized. Extensive simulations are performed using social force models of pedestrian motion. Simulation results show that the pedestrian outflow is significantly improved with our proposed ADP control.
AB - Pedestrian flows in densely-populated areas may cause crowd accidents, and effective pedestrian flow regulation is highly desirable for flow optimization. In this paper, we investigate the problem of regulating two merging pedestrian flows by introducing a mobile robot moving within the flow. The pedestrian flows are regulated through dynamic human-robot interaction during their collective motion. We propose a method based on adaptive dynamic programming (ADP) to learn the optimal motion control of the robot in real time and the pedestrian outflow through the bottleneck area is maximized. Extensive simulations are performed using social force models of pedestrian motion. Simulation results show that the pedestrian outflow is significantly improved with our proposed ADP control.
UR - http://www.scopus.com/inward/record.url?scp=85072282917&partnerID=8YFLogxK
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U2 - 10.23919/acc.2019.8814597
DO - 10.23919/acc.2019.8814597
M3 - Conference contribution
AN - SCOPUS:85072282917
T3 - Proceedings of the American Control Conference
SP - 2626
EP - 2632
BT - 2019 American Control Conference, ACC 2019
T2 - 2019 American Control Conference, ACC 2019
Y2 - 10 July 2019 through 12 July 2019
ER -