扰动条件下铁路枢纽客运站技术作业优化方法研究

Inspired by the observation that efficient technical operations in junction stations are key for improving the efficiency of corridors or even the whole railway passenger network, the main objective of this project is to research optimization methodology for technical operations in large railway passenger junction station under disturbances from the perspective of coherence，robustness and stability. Based on these methods put forward in the project, such as resource-constrained and controllable scheduling method, cluster co-evolution method, dynamic directed network and inverse optimization method, we researched the key scientific problems of how to improve the robustness of technical operation plan under daily occurring and small disturbances and how to make the pre-specified technical operation plan become optimal under stochastic technical processing time. Besides, an experimental and simulation platform for technical operations in large railway passenger junction stations is to be constructed. The main contents are as follows: ①The principles and methods for dynamic allocation of different station resources under disturbances are explored. ②Robust optimization approaches to improve robustness of technical operation plan under daily occurring and small disturbances are put forward. ③Inverse optimization methods to maintain the optimality of pre-specified technical operation plan under disturbances are explored. Research results from the project are expected to form a sound technical and methodological system for technical operations in the large junction stations of passenger railway network, which will provide both theoretical and technical supports for self-discipline and emergency management of technical operations in large railway passenger junction stations.

扰动条件下铁路枢纽客运站技术作业优化决策质量影响枢纽衔接的多条通道乃至整个路网的运营效率，其优化方法也是车站调度指挥自律智能化的关键环节和理论难点。本项目针对现有扰动条件下铁路枢纽客运站技术作业优化相关研究在耦合性、鲁棒性、稳定性等方面存在的不足，采用资源可控排序、群组协同进化、动态有向网络、实时反演技术等方法，研究扰动条件下铁路枢纽客运站技术作业鲁棒优化、技术作业逆调度等关键科学问题，构建铁路枢纽客运站技术作业组织仿真实验平台，主要研究内容包括：①扰动条件下铁路枢纽客运站技术作业效能协调方法、②扰动条件下铁路枢纽客运站技术作业鲁棒优化方法、③扰动条件下铁路枢纽客运站技术作业实时反演方法。本项目的研究成果将形成较完善的扰动条件下铁路枢纽客运站技术作业优化方法体系，为铁路枢纽客运站技术作业自律智能管理和应急调度管理提供方法和技术支持。

扰动条件下铁路枢纽客运站技术作业优化决策质量影响枢纽衔接的多条通道乃至整个路网的运营效率，其优化方法也是车站调度指挥自律智能化的关键环节和理论难点。本项目针对现有扰动条件下铁路枢纽客运站技术作业优化相关研究在耦合性、鲁棒性、稳定性 等方面存在的不足，采用资源可控排序、群组协同进化、动态有向网络、实时反演技术等方法，研究扰动条件下铁路枢纽客运站技术作业鲁棒优化、技术作业实时调整等关键科学问题，构建铁路枢纽客运站技术作业组织仿真实验平台，主要研究内容包括：①扰动条件下铁路枢纽客运站技术作业效能协调方法、②常态干扰下铁路枢纽客运站技术作业鲁棒优化方法、③非常态干扰下铁路枢纽客运站技术作业实时调整方法。本项目的研究成果将形成较完善的扰动条件下铁路枢纽客运站技术作业优化方法体系，为铁路枢纽客运站技术作业自律智能管理和应急调度管理提供方法和技术支持。