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首页|期刊导航|铁道运输与经济|自然语言表示的特定径路规则下铁路网车流径路计算方法研究

自然语言表示的特定径路规则下铁路网车流径路计算方法研究

刘英杰 赵军 张晓静 郑平标

铁道运输与经济2025,Vol.47Issue(7):105-116,139,13.
铁道运输与经济2025,Vol.47Issue(7):105-116,139,13.DOI:10.16668/j.cnki.issn.1003-1421.2025.07.11

自然语言表示的特定径路规则下铁路网车流径路计算方法研究

Calculation Methods for Traffic Routes in Railway Networks under Specific Route Rules Represented in Natural Language

刘英杰 1赵军 1张晓静 2郑平标3

作者信息

  • 1. 西南交通大学交通运输与物流学院,四川 成都 611756||西南交通大学 综合交通运输智能化国家地方联合工程实验室,四川 成都 611756
  • 2. 中国铁路乌鲁木齐局集团有限公司 货运部,新疆 乌鲁木齐 830011
  • 3. 中国铁道科学研究院集团有限公司 运输及经济研究所,北京 100081
  • 折叠

摘要

Abstract

Railway traffic routes comprise shortest routes and specific routes,with the latter represented by semi-structured natural language text.Research on the calculation methods for traffic routes under such specific route rules is of great significance for enabling intelligent traffic route management.This paper first analyzed the forms of representation and the components of specific routes.Then,it established regular expressions to extract specific route information,converting origin/destination domains,via-paths,and special lines into sets of stations,mandatory station sequences,and sets of prohibited segments,respectively.Based on shortest path algorithms,a method for calculating traffic routes under specific route rules was developed.Finally,taking Chengdubei Station as a case study,the paper parsed specific route information from the National Railway Freight Traffic Routes document and calculated both the shortest and specific routes for all departure and arrival flows under the defined rules.The case study demonstrates the practicality and effectiveness of the proposed method,showing its potential to enrich the digital management of traffic routes and provide robust support for field-level traffic organization.

关键词

铁路运输/车流径路/特定径路/自然语言处理/车流组织

Key words

Railway Transportation/Traffic Route/Specific Route/Natural Language Processing/Traffic Organization

分类

交通工程

引用本文复制引用

刘英杰,赵军,张晓静,郑平标..自然语言表示的特定径路规则下铁路网车流径路计算方法研究[J].铁道运输与经济,2025,47(7):105-116,139,13.

基金项目

国家自然科学基金项目(52272325) (52272325)

四川省自然科学基金项目(2023NSFSC0390) (2023NSFSC0390)

铁道运输与经济

OA北大核心

1003-1421

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