Weekend train operation scheme modeling method considering passenger flow fluctuation and scheme coherence

Abstract

The invention belongs to the field of intelligent transportation and particularly relates to a weekend train running scheme modeling method considering passenger flow fluctuation and scheme coherence.According to the method, a weekend train running scheme model for the weekend passenger flow peak period is established, an objective function is that the total train running cost is minimum, and thetotal cost is composed of running cost of a weekend scheme line and running cost of a normal-day scheme line, the train cost is composed of fixed cost, stop cost and motor train unit application cost, in order to control the sequence of train scheme adjustment means, corresponding penalty values are given to train on-station reconnection decompilation adjustment to be flexibly grouped train scheme lines) and scheme lines of alternative train sets at the weekend, and the adjustment means sequence of the train scheme lines is restrained through an objective function. The method is advantaged inthat transportation resource supply is recombined, so the quality of transportation products is efficiently improved, the diversity of passenger flow requirements is met, transportation resources arefully utilized, and quality improvement and efficiency improvement of transportation organizations are achieved.

Description

technical field [0001] The invention belongs to the field of intelligent transportation, and in particular relates to a modeling method for a weekend train running plan considering passenger flow fluctuation and plan connection. Background technique [0002] For the preparation and optimization of high-speed railway train operation plan, domestic practice usually adopts manual adjustment method. According to the fluctuation of passenger flow demand in experience, the train operation plan is adjusted by adding / subtracting trains. In foreign countries, plans for reconnection and disassembly of EMUs at stations are usually designed during the operation of EMUs, and are not considered in the design of operation schemes, which cannot match passenger flow needs. [0003] During weekends or other peak periods of passenger flow, the passenger flow demand of high-speed railway trains will fluctuate greatly, especially for lines serving commuting, business, and tourist passenger flows...

AI Technical Summary

Problems solved by technology

[0004] 1) There is a lack of theoretical research, and it is impossible to provide a suitable transportation product supply plan for the fluctuating passenger flow demand

In the actual application of the current operation plan, the supply of train transportation products is adjusted mainly through manual adjustment, based on the total passenger flow, and the train operation plan is adjusted by adding / subtracting trains to the whole line, without considering the adjustment of the use of EMUs, and the adjustment method is relatively single

Under the conditions of large changes in the passenger flow structure, it is impossible to finely adapt to the passenger flow law, which will lead to the phenomenon that the capacity of some sections is exhausted, and the supply of some sections exceeds the demand, making it difficult to make optimal use of transportation resources and line capacity

[0005] 2) Poor continuity with subsequent plans

The current design and adjustment method of the opening plan has limited consideration of continuity. However, it is not suitable to use a new transportation plan or make major adjustments during weekends, because such periods are different from special periods such as holidays and occur more frequently. In practical applications, the frequent changes of the train operation plan and operation diagram have a great impact on the follow-up transportation organization design, railway bureau command and dispatch, and station work organization. Therefore, the adopted plan should be as close as possible to the previous plan before the fluctuation period. Meet the fluctuation of passenger flow demand with the smallest adjustment, and reduce the negative impact on the follow-up work organization

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