Parallel Dispatching: An ACP-Based High-Speed Railway Intelligent Dispatching System

The antiquated method of train dispatching relying solely on dispatchers' knowledge is unable to meet the need for rapid response and effective solutions in emergency situations. This paper proposes an ACP method (Artificial System, Computational Experiment, and Parallel Execution) to explore the potential of automating the management of high-speed railway trains. A parallel high-speed railway dispatching system is created, comprised of an actual system and its artificial counterpart. Various computational experiments were conducted to investigate the effects of different factors on high-speed railway dispatching, and the results were used to devise an optimal train operation adjustment scheme and strategies. Through the parallel operations and virtual-real interactions between the artificial dispatching system and the actual dispatching system, dispatchers are able to execute the most effective strategies, and achieve optimal control of the high-speed railway system. This technique eliminates the difficulty in managing the complex network of high-speed railway dispatching, ensuring that emergency commands are issued quickly and efficiently.