Optimization of computer-aided decision-making system for railroad traffic dispatching command

被引:0
作者
Liu Z. [1 ]
机构
[1] China Academy of Railway Sciences Corporation Limited, Beijing
来源
Computer-Aided Design and Applications | 2022年 / 19卷 / S4期
关键词
Computer-aided; Railroad traffic; Scheduling command decision; System optimization;
D O I
10.14733/CADAPS.2022.S4.123-134
中图分类号
学科分类号
摘要
This paper provides an in-depth analysis and optimization of the railroad traffic dispatching command and decision system through a computer-aided approach. Based on the analysis of the advantages and adaptability of the multi-intelligence system, the multi-intelligence-based cross-region comprehensive transportation emergency dispatching technology is proposed, in which two types of physical entities, namely the disaster site and the emergency material storage center widely distributed in all areas, are modeled as the demand point and the rescue point bits of intelligence respectively, and the "rescue-request" behavior among the bits of intelligence is realized by defining the interaction rules. This simplifies the complex multi-source and multi-sink task assignment problem. Based on the results of the system business process and feature analysis, the paper identifies the system functional requirements for emergency resource inventory, emergency dispatch plan decision, emergency auxiliary management, basic information management, etc., the system data requirements for efficient integration and flow, and the system performance requirements containing three aspects of information such as performance index, facilities and equipment, and operation environment. The comprehensive transportation emergency resource data warehouse integrates comprehensive transportation resource data and emergency material reserve information, while the cross-regional emergency material intermodal auxiliary decision-making platform provides decision support for the whole cycle of emergency dispatching tasks in three stages: before, during, and after. © 2022 CAD Solutions, LLC, http://www.cad-journal.net.
引用
收藏
页码:123 / 134
页数:11
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