Rail transit express and slow train timetable optimization method considering passenger flow and energy saving

Abstract

The invention relates to a rail transit express and slow train timetable optimization method considering passenger flow and energy saving, and belongs to the technical field of rail transit. The method comprises the steps of S1, cleaning and preprocessing operation data, route data and passenger flow data of express buses and slow buses required by a model algorithm; S2, based on the long-distance and short-distance OD passenger flow volume in the S1, calculating the driving proportion of fast and slow vehicles, and according to the maximum section passenger flow volume P of the line in the S1, calculating the driving logarithm of fast and slow vehicles and the driving cycle time H; S3, establishing a mathematical model of fast and slow time tables based on the data in S1 and S2; S4, introducing various train operation constraints and train speed-distance relations, and converting a multi-target model into a single-target model; and S5, initializing algorithm parameters, converting the decision variables in the S3 into chromosomes for coding, and solving a global optimal solution by using a genetic algorithm to obtain an optimal fast-train and slow-train timetable in the scene. The problem that the dynamic passenger flow is not matched with the train transport capacity is solved.

Description

technical field [0001] The invention relates to a method for optimizing rail transit fast and slow train timetables considering passenger flow and energy saving, and belongs to the technical field of rail transit. Background technique [0002] Urban rail transit has become the main mode of public transportation in large cities. With the development of urban scale, the central city has become saturated, resulting in an increasing number of long-distance travel passenger traffic between the urban center and the suburbs. Therefore, a new type of train operation mode—the combined operation mode of express train and local train came into being. This mode is a combination of traditional slow trains and express trains. Slow trains refer to trains that stop at a station, while express trains refer to trains that cross stations. At the station where the express train is overtraveling, the waiting time for the stop is 0, so compared with the traditional local train, the time required...

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to overcome the problems existing in the prior art, and provide a method for optimizing the timetable of fast and slow trains in rail transit considering passenger flow and energy saving, which can solve the problem of mismatch between dynamic passenger flow and train capacity, and at the same time consider passenger travel satisfaction Under the premise of speed and enterprise operating costs, quickly provide a timetable optimization plan for the combined operation mode of fast and slow trains, and provide a basis for the formulation of operation organization plans

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