Passenger Volume Estimation Based on the Relational Model of Visual Density for Elevator Group-Controlled System

Abstract:

The uncertainty of passenger volume is the bottleneck of modern elevator group-controlled system, which influences the optimization process of group control and depresses the control performance. This paper presents a novel passenger volume estimation method. According to the specific conditions of an elevator, background subtraction is used to gain the visual density. And then the relational model of visual density is obtained with the system identification. By considering the status inside elevators, the directions of passenger movement, and the number of waiting passengers, this model offers effective parameters to elevator group-controlled strategy and guarantees the real time of control system. Compared with the traditional Hough transform detection, the method in this paper is an easy and efficient way to learn dynamic traffic by analyzing passenger traffic of elevator group-controlled system.

• Periodical: Applied Mechanics and Materials (Volume 127)
• Pages: 338-343
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.127.338
• Online since: October 2011
• Authors: Tun Dong Liu, Jing Chen, Hao Jiang
• Keywords: Elevator Group Control, Passenger Volume Estimation, System Identification

References

[1] Guangquan Yang, Changming Zhu, Xianghong Wang, etc: Elevator traffic pattern recognition based on particle swarm optimization K-means clustering algorithm, J. Control and Decision, Vol. 22(2007) No. 10, pp.1139-1142.

[2] Qun Zong, Lijian Wei, Yiju Chen, etc: Model and application of elevator traffic based on markov network queuing theory, J. Journal of Tianjin University, Vol. 38(2005) No. 1, pp.9-13.

DOI: 10.1109/wcica.2004.1340564

[3] Haiyan Fan, Xiujun Li: Bus scheduling strategy based on the bus pedestrian flow, J. Statistics and Decision, Vol. 24(2007), pp.179-180.

[4] Liang Huang: Human Flow Statistic and Recognition System Based on Binocular Vision (ph. D, Shanghai Jiao Tong University, China, 2008).

[5] Su Yang, Bao Ding: Research on recognition of waiting crowd for elevator group control, J. Control Engineering of China, Vol. 15(2008), pp.197-199.

[6] Haiming Su: Research on Intelligent Visual Counting And Application (ph. D, Beijin Hua Gong University, China, 2010).

[7] Haibin Yu, Wei Fu, Jilin Liu: Dynamic contour matching approach in vision based passenger flow detection, J. Journal of Zhejiang University, Vol. 42(2008), No. 3, pp.412-417.

[8] Li Zhou, Hong Zhu: Optical flow calculation based on dual subtraction for motion detection, J. Computer Simulation, Vol. 26(2009), No12, pp.168-171.