Agent-Based Integrated Intelligent Parallel Scheduling System for Station Area

In order to improve the intelligence and integration level of railway technical operation station and enhance the optimal allocation and efficient scheduling of station resources, an intelligent scheduling system is built based on the artificial system, computational experiment, parallel execution (ACP) method. It compiles data, empirical and mechanism, and its data compilation method supports the normal operation of the intelligent scheduling system. The artificial scheduling system is constructed by introducing multi-agent modeling, and the controllable factors and random disturbance factors under different scheduling scenarios are considered in the calculation experiment. The system is managed and controlled by constructing the railway transportation operation in parallel execution. Finally, the simulation experiment of station area scheduling has been completed, and its results demonstrate that it can not only improve the overall operation efficiency of the railway technical station, but also further enhance the overall operation efficiency of the station area.