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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.

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.

Corresponding Author

Yuan Minghai

DOI

10.16182/j.issn1004731x.joss.25-0810

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