Particle swarm optimization applied to vertical traffic scheduling in buildings

Authors:
Zhonghua Li;Hong-Zhou Tan;Yunong Zhang
Affiliations:
Department of Electronics and Communication Engineering, Sun Yat-sen University, Guangzhou, China;Department of Electronics and Communication Engineering, Sun Yat-sen University, Guangzhou, China;Department of Electronics and Communication Engineering, Sun Yat-sen University, Guangzhou, China
Venue:
KES'07/WIRN'07 Proceedings of the 11th international conference, KES 2007 and XVII Italian workshop on neural networks conference on Knowledge-based intelligent information and engineering systems: Part I
Year:
2007

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Abstract

Vertical traffic scheduling is significant in evaluating the quality of property management. An excellent vertical traffic scheduling approach aims at enhancing the system handling capacity and reducing the waiting time, journey time and energy consumption, especially in up-peak traffic pattern. To balance workloads of elevator cars in the system is a good choice for any peak traffic. This paper proposed a novel PSO-based dynamic scheduling algorithm for vertical traffic in buildings. The service zones for elevators are determined by considering their expected round-trip time. Our preliminary simulation results show that the proposed algorithm balances the round-trip time over the elevator system and further improves the service quality of elevator system in buildings.