Title: Dynamic visiting coordination problem based on multi-agent for large-scale crowds' activities
Author: Jin Li
Address: Department of Logistics, School of Computer Science and Information Engineering, Zhejiang Gongshang University, Xia Sha College town, Hangzhou, Zhejiang Province, 310018, China
Abstract: In order to reduce the phenomena of long time queuing and congestion in large-scale crowds' activities, improve the tourist's satisfaction and increase social welfare, a dynamic visiting coordination model based on multi-agent for large scale crowds' activities is proposed. Then, a visiting coordination algorithm considering comprehensively the tourist's preference, attraction's congestion and road impedance (denoted as PCI) is designed. The other two visiting coordination algorithms only considering attraction's preference or congestion are introduced respectively. Three types of these coordination algorithms are tested by computer simulation. The results indicate that the proposed coordination algorithm PCI can improve the congestion status significantly and ensure better social welfare while meeting the real-time requirements.
Keywords: large-scale crowds; crowd activities; tourists; visitor coordination; multi-agent systems; MAS; agent-based systems; systems engineering; queuing times; crowd congestion; dynamic modelling; tourist preferences; tourism; tourist atractions; simulation; social welfare; tourist visits.
Int. J. of Industrial and Systems Engineering, 2014 Vol.17, No.1, pp.115 - 131
Available online: 28 Apr 2014