铁路车站到发线冲突态势感知与消解研究进展
Research Progress in Conflict Awareness and Resolution of Arrival Departure Tracks in Railway Stations
DOI: 10.12677/ojtt.2026.151003, PDF,    国家自然科学基金支持
作者: 文 超：广州理工学院新能源汽车与现代航空学院，广东 广州
关键词: 铁路车站；到发线冲突；冲突感知；冲突消解；数据驱动；Railway Station； Arrival-Departure Track Conflict； Conflict Awareness； Conflict Resolution； Data-Driven
摘要: 为解决铁路车站到发线冲突管理问题，提高铁路车站到发线运用优化决策效度，促进铁路智能调度理论发展，基于到发线冲突的基本概念和内涵，分析到发线冲突检测、列车晚点传播理论、数据驱动在铁路运输组织领域的最新研究进展；分析了当前铁路车站到发线冲突检测与消解存在的不足，提出未来的研究趋势与方向，得出以下结论：数据驱动模型相比传统数学优化模型对实际的运输生产更具指导意义，该模型将应用于到发线冲突态势的评估和演化理论以及到发线冲突消解理论。
Abstract: To address the management of conflicts on arrival departure tracks in railway stations, enhance the effectiveness of optimization decisions for the utilization of arrival and departure tracks, and promote the development of railway intelligent dispatching theory, this paper analyzes the following: The basic concepts and implications of arrival and departure track conflicts. The latest research progress in arrival and departure track conflict detection, train delay propagation theory, and data-driven approaches in the field of railway transportation organization. The paper analyzes the shortcomings in current railway station arrival and departure track conflict detection and resolution methods, proposes future research trends and directions, and draws the following conclusion: Data-driven models are more instructive for actual transportation production compared to traditional mathematical optimization models. These models will be applied in the evaluation and evolution theory of arrival and departure track conflict situations, as well as in the theory of arrival and departure track conflict resolution.
文章引用：文超. 铁路车站到发线冲突态势感知与消解研究进展[J]. 交通技术, 2026, 15(1): 25-33. https://doi.org/10.12677/ojtt.2026.151003

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