Optimization of Intercity Train Operation Plan Based on Genetic Algorithm

Abstract

Passenger flow and the growth period of passenger flow of the intercity railway will change with time, so it is necessary to evaluate and optimize the existing operation plan based on the actual passenger flow on a regular or irregular basis. The thesis proposes the definition and calculation method of passenger flow deviation coefficient, which is used to evaluate the matching degree between the operation plan and the actual passenger flow. On this basis, the thesis established an optimization model for intercity railway operation plan by minimizing passenger travel time and minimizing enterprise operating costs, and designs a specific genetic algorithm to solve the model. Finally, an example of an intercity railway line is used to verify the effectiveness of the model and algorithm. The research results of the thesis can provide a basis for the periodic evaluation and optimization of the development plan of the intercity railway in the growth period of passenger flow in China.