Simulator device, simulation method, and recording medium

A simulation method for planning moving body operation schedules in a transportation system, the simulation method comprising:

• storing a passenger action ratio indicating actions taken by a passenger as a ratio, wherein the passenger action ratio is applied based on a plurality of passenger action rules according to a relationship between an action attribute of the passenger, a type of the moving body, a crowding condition in the moving body, and a destination of the passenger;
• among passenger action ratios linked to selection conditions, calculating, based on the passenger action ratio and a prediction model trained by machine learning, at least one of a number of people alighting from a moving body to a station or a number of people boarding the moving body by using the passenger action ratio that is linked to a selection condition matching the type of moving body stopping in a simulation for the transportation system;
• and
• simulating, based on the calculated number of people alighting from the moving body, the number of people boarding the moving body and a moving body operation simulation model configured to simulate moving body operations, a delay in the train operation by adjusting at least one of a departure time from the station or an arrival time at the station to obtain planning information for scheduling moving body operations.

A non-transitory recording medium that stores a program for causing a computer to execute a simulation method for planning moving body operation schedules in a transportation system, the simulation method comprising:

• storing a passenger action ratio indicating actions taken by a passenger as a ratio, wherein the passenger action ratio is applied based on a plurality of passenger action rules according to a relationship between an action attribute of the passenger, a type of the moving body, a crowding condition in the moving body, and a destination of the passenger;
• among passenger action ratios linked to selection conditions, calculating, based on the passenger action ratio and a prediction model trained by machine learning at least one of a number of people alighting from a moving body or a number of people boarding the moving body by using the passenger action ratio that is linked to a selection condition matching the type of moving body stopping in a simulation for the transportation system;
• and
• simulate, based on the calculated number of people alighting from the moving body, the number of people boarding the moving body and a moving body operation simulation model configured to simulate moving body operations, a delay in the train operation by adjusting at least one of a departure time from the station or an arrival time at the station to obtain planning information for scheduling moving body operations.