Key Nodes Identification Method for Crowd Monitoring in Subway Stations

作者：Chen, Yanyan; Zhang, Guanghou^*; Li, Pingpu; Zhang, Zhe; Zhang, Xiaoyang

来源：Information-An International Interdisciplinary Journal, 2012, 15(12A): 5437-5445.

• transfer station
• passenger monitoring
• node importance
• pedestrian simulation
• grey relational analysis
• variable weight

Because of complex facility layout and large number of passengers, it is quite difficult to monitor passengers in subway transfer stations. Artificial identification is still the common method to find out pedestrian congestion and other abnormal situation. Thus, in order to improve the efficiency of passenger monitoring, it is necessary to identify key nodes to support the decision making of monitoring equipments configuration and operation. An operational strategy for key monitor nodes identification using grey relational analysis (GRA) is presented. Passenger facilities were divided into four types to draw potential monitoring nodes diagram. And then, based on the pedestrian simulation tool, evaluation indicators system of monitor node importance was established. GRA algorithm with variable weight was used to calculate importance of different potential monitoring nodes. At last, the application of the identification method was illustrated with a case study of a designing comprehensive transportation hub in Beijing.

• 出版日期2012-12
• 单位北京工业大学