Abstract
In recent years, with the gradual networking of high-speed railways in China, the existing railway transportation capacity has been released. In order to improve transportation capacity, railway freight transportation enterprises companies have gradually shifted the transportation of goods from dedicated freight lines to passenger-cargo lines. In terms of the organization form of collection and distribution, China has a complete research system for heavy-haul railway collection and distribution, but the research on the integration of collection and distribution of the ordinary-speed railway freight has not been completed. This paper combines the theories of the integration of collection and distribution theory, coordination theory, and coupling theory and incorporates the machine learning fuzzy mathematics to construct an “Entropy-TOPSIS Coupling Development Degree Model” for dynamic intelligent quantitative analysis of the synergy of railway freight collection and distribution systems. Finally, we take the Tongchuan Depot of “China Railway Xi’an Group Co., Ltd.” as a research object to construct a target system and use the intelligent information acquisition system to collect basic data. The analysis results show that through the coordinated control of the freight collection and distribution system, the coordination between the subsystems of the integrated freight collection and distribution system is increased by 5.94%, which verifies the feasibility of the model in the quantitative improvement of the integration of collection and distribution system. It provides a new method for the research of integrated development of railway freight collection and distribution.
Highlights
In recent years, China’s high-speed railway construction has been developing very rapidly
In order to meet the requirements of improving the volume of railway freight and the comprehensive utilization efficiency of the railway networks, this paper mainly focuses on the following three aspects to strengthen the overall internal coordinated development of the collection and distribution system: the operation efficiency of the freight yard station, the traffic organization of the hub marshalling station and the technical standard of the station line to organize and control the coordinated configuration of the system in the 2017 bottleneck month of the Tongchuan Depot
Based on the integration of collection and distribution theory, synergy theory, coupling theory, and fuzzy mathematics, this paper constructs the “Entropy-TOPSIS Coupling Development Degree Model” for quantitative analysis of the synergy between collection and distribution systems, which provides a new method for the research on the coordinated development of an integrated railway freight collection and distribution system
Summary
China’s high-speed railway construction has been developing very rapidly. Rough the Entropy-TOPSIS model, we obtain the collaborative development evaluation index, which can help us make a longitudinal evaluation of the comprehensive coordination situation of the railway freight collection and distribution system. For freight flow scheduling, realizing the dynamic real-time control of train flow is an imperative measure for railway transportation enterprises; for the research method, the Entropy-TOPSIS model which method can objectively evaluate the target system, is often adopted in the railway field, while the coupling development degree model, though it has been fully utilized in the economic and system science field, is rarely applied in the railway field. It takes a value between 0 and 1. e closer the Oi is to 1, the closer the evaluation object is to the optimal level; otherwise, the closer it is to 0, the closer the evaluation object is to the worst level. is paper uses relative proximity to express the comprehensive coordination of the system
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