Purpose–The intelligent Central Traffic Control(CTC)system plays a vital role in establishing an intelligent high-speed railway(HSR)system.As the core of HSR transportation command,the intelligent CTC system is a new...Purpose–The intelligent Central Traffic Control(CTC)system plays a vital role in establishing an intelligent high-speed railway(HSR)system.As the core of HSR transportation command,the intelligent CTC system is a new HSR dispatching command system that integrates the widely used CTC in China with the practical service requirements of intelligent dispatching.This paper aims to propose key technologies and applications for intelligent dispatching command in HSR in China.Design/methodology/approach–This paper first briefly introduces the functions and configuration of the intelligent CTC system.Some new servers,terminals and interfaces are introduced,which are plan adjustment server/terminal,interface for automatic train operation(ATO),interface for Dynamic Monitoring System of Train Control Equipment(DMS),interface for Power Supervisory Control and Data Acquisition(PSCADA),interface for Disaster Monitoring,etc.Findings–The key technologies applied in the intelligent CTC system include automatic adjustment of train operation plans,safety control of train routes and commands,traffic information data platform,integrated simulation of traffic dispatching and ATO function.These technologies have been applied in the Beijing-Zhangjiakou HSR,which commenced operations at the end of 2019.Implementing these key intelligent functions has improved the train dispatching command capacity,ensured the safe operation of intelligent HSR,reduced the labor intensity of dispatching operators and enhanced the intelligence level of China’s dispatching system.Originality/value–This paper provides further challenges and research directions for the intelligent dispatching command of HSR.To achieve the objectives,new measures need to be conducted,including the development of advanced technologies for intelligent dispatching command,coping with new requirements with the development of China’s railway signaling system,the integration of traffic dispatching and train control and the application of AI and data-driven modeling and methods.展开更多
针对调度指挥控制培训系统(Dispatch Command and Control Training System,DCCS)存在的响应延迟高、资源利用率低等问题,提出一种融合人工蜂群算法(Artificial Bee Colony,ABC)与粒子群优化算法(Particle Swarm Optimization,PSO)的混...针对调度指挥控制培训系统(Dispatch Command and Control Training System,DCCS)存在的响应延迟高、资源利用率低等问题,提出一种融合人工蜂群算法(Artificial Bee Colony,ABC)与粒子群优化算法(Particle Swarm Optimization,PSO)的混合优化方法。该方法结合PSO的快速局部收敛能力与ABC的强全局探索特性,旨在提升系统调度效率与资源分配精度。实验结果表明,所提算法在典型调度任务下的平均收敛时间为2.3 s,显著优于单一ABC与PSO算法。基于该算法优化后的DCCS系统响应时间缩短至1.3 s,调度准确率由68.5%提升至91.7%(绝对提升23.2%)。结果表明,该优化方法能有效提升DCCS的响应速度与决策准确性,为高保真、高效率的调度指挥培训提供技术支撑。展开更多
基金This work was supported in part by the National Natural Science Foundation of China under Grant 62203468Young Elite Scientist Sponsorship Program by CAST under Grant 2022QNRC001+1 种基金Foundation of China State Railway Group Co.,Ltd.under Grant K2021X001Foundation of China Academy of Railway Sciences Corporation Limited under Grant 2021YJ315.
文摘Purpose–The intelligent Central Traffic Control(CTC)system plays a vital role in establishing an intelligent high-speed railway(HSR)system.As the core of HSR transportation command,the intelligent CTC system is a new HSR dispatching command system that integrates the widely used CTC in China with the practical service requirements of intelligent dispatching.This paper aims to propose key technologies and applications for intelligent dispatching command in HSR in China.Design/methodology/approach–This paper first briefly introduces the functions and configuration of the intelligent CTC system.Some new servers,terminals and interfaces are introduced,which are plan adjustment server/terminal,interface for automatic train operation(ATO),interface for Dynamic Monitoring System of Train Control Equipment(DMS),interface for Power Supervisory Control and Data Acquisition(PSCADA),interface for Disaster Monitoring,etc.Findings–The key technologies applied in the intelligent CTC system include automatic adjustment of train operation plans,safety control of train routes and commands,traffic information data platform,integrated simulation of traffic dispatching and ATO function.These technologies have been applied in the Beijing-Zhangjiakou HSR,which commenced operations at the end of 2019.Implementing these key intelligent functions has improved the train dispatching command capacity,ensured the safe operation of intelligent HSR,reduced the labor intensity of dispatching operators and enhanced the intelligence level of China’s dispatching system.Originality/value–This paper provides further challenges and research directions for the intelligent dispatching command of HSR.To achieve the objectives,new measures need to be conducted,including the development of advanced technologies for intelligent dispatching command,coping with new requirements with the development of China’s railway signaling system,the integration of traffic dispatching and train control and the application of AI and data-driven modeling and methods.
文摘针对调度指挥控制培训系统(Dispatch Command and Control Training System,DCCS)存在的响应延迟高、资源利用率低等问题,提出一种融合人工蜂群算法(Artificial Bee Colony,ABC)与粒子群优化算法(Particle Swarm Optimization,PSO)的混合优化方法。该方法结合PSO的快速局部收敛能力与ABC的强全局探索特性,旨在提升系统调度效率与资源分配精度。实验结果表明,所提算法在典型调度任务下的平均收敛时间为2.3 s,显著优于单一ABC与PSO算法。基于该算法优化后的DCCS系统响应时间缩短至1.3 s,调度准确率由68.5%提升至91.7%(绝对提升23.2%)。结果表明,该优化方法能有效提升DCCS的响应速度与决策准确性,为高保真、高效率的调度指挥培训提供技术支撑。
