Journal of System Simulation
Abstract
Abstract: To address the conflict between car space allocation and peak passenger flow response efficiency in elevator group control scheduling, a multi-objective scheduling method based on proximal policy optimization (PPO) with real-time occupancy perception was proposed. A simulation environment considering car capacity constraints was constructed, and a reward-penalty mechanism with average passenger waiting time, system energy consumption, and car congestion as optimization objectives was designed. Based on this, state and action spaces were defined to form a PPO-based scheduling framework; a simulation platform integrating traffic flow visualization, policy scheduling, and performance evaluation was developed. Simulation results show that this method significantly reduces long waiting rates, energy consumption, and congestion across various traffic modes, demonstrating good adaptability and convergence.
Recommended Citation
Han, Yiyong; Wang, Shiyu; Ye, Yang; Zhang, Zhen; Pei, Fengque; and Yuan, Minghai
(2026)
"Simulation Study of Elevator Group Control Scheduling Based on Real-time Occupancy Perception,"
Journal of System Simulation: Vol. 38:
Iss.
7, Article 14.
DOI: 10.16182/j.issn1004731x.joss.25-0810
Available at:
https://dc-china-simulation.researchcommons.org/journal/vol38/iss7/14
First Page
1993
Last Page
2006
CLC
TP273
Recommended Citation
Han Yiyong, Wang Shiyu, Ye Yang, et al. Simulation Study of Elevator Group Control Scheduling Based on Real-time Occupancy Perception[J]. Journal of System Simulation, 2026, 38(7): 1993-2006.
DOI
10.16182/j.issn1004731x.joss.25-0810
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