A Parallel Passenger Flow Management System for Outside Subway Stations Based on ACP Approach

During peak time period, the entire subway is overloaded for a large amount of passengers. To solve this problem, there are many strategies to reduce or limit the number of passengers entering the subway stations. This paper proposes the parallel passenger flow management system (PPFMS) based on ACP theory to manage the inbound passenger flow. The ACP theory, including artificial societies, computational experiments, and parallel execution, is playing an essential role in modeling and control of complex systems. For a parallel passenger flow management system, realistic artificial scenes are used to model and represent complex real scenes; computational experiments are utilized to train and evaluate a variety of estimating models; and parallel execution is conducted to optimize the passenger flow system and achieve perception and understanding of complex environments.