Author(s)

Yutian Jiao ¹, Junting Liu ¹, Junwei Wang ¹

Affiliation(s)

¹ College of Rail Transit, Shandong Jiaotong University, Jinan, 250357, China

Corresponding Author

Yutian Jiao

ABSTRACT

The railway technical operation station is a huge and complex operation system, and its scheduling management is faced with a variety of random disturbance factors, which increases the complexity of scheduling. In order to improve the scheduling of the technical operation station, a basic data processing method is provided. Based on the ACP theory, this method collects the physical scheduling data of the actual scheduling system of the technical operation station, and inputs the actual scheduling data into the artificial scheduling system of the technical operation station for computational experiment scheduling. Combined with the optimization model of the technical operation station, the optimal scheme data and operation planning data are obtained. The physical adjustment system is run according to the optimal scheme data and operation plan data, and the parallel execution between the actual scheduling system and the artificial scheduling system is realized through the real-time feedback mechanism. It provides a more efficient and intelligent command and scheduling solution for the actual scheduling system, and improves the intelligence and integrated level of the technical operation station. It strengthens the scheduling and management ability of the railway technical operation station in the face of a large number of complex operation plans, and improves the quality and efficiency of railway freight transportation and production.

KEYWORDS

ACP Approach, Railroad Technical Operation Station, Intelligent Processing, Data Compilation, Parallel Scheduling System

CITE THIS PAPER

Yutian Jiao, Junting Liu, Junwei Wang, Research on Data Compilation of Parallel Scheduling System for Railway Technical Station. Frontiers in Traffic and Transportation Engineering (2025) Vol. 5: 52-62. DOI: http://dx.doi.org/10.23977/ftte.2025.050107.

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