| 摘要 |
The disclosure relates to an evaluation system that is able to simulate a large number of passengers, metro stations and trains. The evaluation system runs the simulated metro system inside a computer and shows the statistical status of each passenger, each metro station and each train. The passenger simulation can take into account various factors, such as weather, day, time and special events. Both historical and real-time passenger flows are data used to simulate passengers. The metro station simulation generates stations that have specific maximum volume and specific maximum throughput. The train will be simulated according to a specific train schedule. Both the metro station simulation and train simulation may use both virtual and real-world data. Finally, an evaluator will show the statistical information for passengers, stations and trains. For example, for the passengers, the system will show the average waiting/queuing/travelling time, which is very useful to evaluate the comfort level and satisfaction of passengers. For stations and trains, the system will show the peak passenger density, which is an important data used to evaluate safety levels and control the probability of a stampede. |
| 主权项 |
1. A computer-implemented method performed by a computer system for simulating a transportation system comprising:
providing a passenger flow data for the transportation system, wherein the passenger flow data comprises in-bound and out-bound passengers for stations of the transportation system; providing a schedule data for the transportation system, wherein the schedule data comprises schedules of trains of the transportation system; providing a map data of the transportation system, wherein the map data comprises a station status and train status information of the transportation system; providing simulation parameters for a configuration file used for simulating the transportation system; and simulating movement of people through trains and stations of the transportation system based on the passenger flow data, schedule data, map data and simulation parameters. |
