Subway operation and scheduling integrated optimization method taking into consideration of subway fast and slow lines

Abstract

The invention discloses a train operation and scheduling integrated optimization method taking into consideration of subway fast and slow lines. The method comprises the following steps: analyzing regular subway line information, optimizing a plan for switching train control modes among train stations, an optimization result being input to an operation and scheduling integrated model, establishing a train operation and scheduling integrated optimization model taking into consideration of subway fast and slow lines, associating operation and scheduling of a train by using regenerative braking energy and conducting integrated research; and adopting the particle swarm algorithm in solving the model, performing solving and obtaining an operation curve and a timetable of the train, inputting the operation curve and the timetable to a simulation platform for performing simulation, and carrying out later-stage closed loop control. According to the invention, the method, on the basis of the operation and scheduling integrated research, takes actual background of subway fast and slow lines into consideration, and has profound actual significance to research on urban rail transit.

Description

technical field [0001] The invention belongs to the field of operation scheduling optimization, and in particular relates to an integrated optimization method for train operation scheduling considering subway fast and slow lines Background technique [0002] With the rapid development of urban public transportation, the subway has gradually become the main public transportation mode in major cities. The scale of the subway network continues to expand. At the same time, my country's energy is relatively scarce. Therefore, the operation efficiency and energy consumption of the subway have become particularly important. The braking energy recovery technology maximizes the utilization rate of energy without changing the original operating efficiency of the train, and can alleviate the current energy crisis to a large extent. The fast and slow line system of the subway has been in operation in cities such as Beijing and Guangzhou. It does not affect the original subway passengers...

AI Technical Summary

Problems solved by technology

[0005] In the operation scheduling process proposed above, regenerative braking energy recovery is introduced, but the dynamic tracking process of adjacent trains is ignored, and the influence of the rear vehicle on the front vehicle is ignored, and the two have the same speed curve by default. Exist, the actual situation is not the case, the impact is particularly significant at the peak stage

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