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Research on Optimization of City Line Express Trains Based on Multi-objective Particle Swarm Optimization Algorithm | IEEE Conference Publication | IEEE Xplore

Research on Optimization of City Line Express Trains Based on Multi-objective Particle Swarm Optimization Algorithm


Abstract:

The municipal line is the route connecting the suburbs of the city and the city center. Many passengers need to travel long distances. The traditional rail transit train ...Show More

Abstract:

The municipal line is the route connecting the suburbs of the city and the city center. Many passengers need to travel long distances. The traditional rail transit train station stop form can not meet the needs of passengers well. Therefore, this paper adopts the method of fast and slow car operation. A multi-objective optimization model was established based on passenger travel time and operating cost of the enterprise, and a multi-objective optimized particle swarm optimization algorithm was designed to solve the problem. In the study of the example, the corresponding express train plan was designed for the Shenzhen Metro Line 14, which proved that the travel speed of the passenger train reduced the travel time of the passengers and the operating cost of the enterprise, and verified the reliability of the model and algorithm.
Date of Conference: 05-07 September 2019
Date Added to IEEE Xplore: 24 October 2019
ISBN Information:
Conference Location: Singapore

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