Optimum pedestrian flow control using congestion forecasting satisfying user equilibrium

Abstract

In the theme park, restricting the order of wandering or the use of the attractions is greatly reducevisitor satisfaction. The problem of how to achieve overall system optimization such as congestionreduction where managers can not force people to do something is a unique problem on pedestrian flowcontrol. In recent years, many researchers have been optimized congestion using simulation optimizationmethods. However, the method they use is forces people to do something, indirect control method likeinformation distribution has not been to be used in. In this paper, we attempt to optimize congestion byusing "congestion forecasting" as one of indirect pedestrian control method. We propose a method to deriveoptimal information distribution policy by using congestion forecasting satisfying user equilibrium.