Intelligent Decision-Making Algorithm in the Steering Guidance System of Railway Locomotive Crew Based on Domain-specific Language

Railway transportation, as an important mode of transportation, requires the flight attendants to make complex control decisions according to the real-time situation in order to ensure the safety and operation efficiency of the train. The traditional operation guidance system is often limited by fixed rules and strategies, and cannot adapt to the complex and changeable transportation environment, so it is necessary to introduce intelligent decision-making algorithm to improve the intelligent level of the system. The purpose of this paper is to study the design and application of intelligent decision-making algorithm in the steering guidance system of railway locomotive crew based on specific domain language. In this paper, firstly, the intelligent decision-making algorithms in the field of railway transportation are summarized and analyzed, and the application and advantages of DQL (Deep Q-Learning) algorithm in intelligent transportation system are emphatically introduced. Then, according to the characteristics and requirements of the steering guidance system for railway locomotive crew, the design scheme of intelligent decision algorithm based on DQL is put forward, and the principle and implementation method of the algorithm are introduced in detail. Through experiments and results analysis, this paper verifies the effectiveness and feasibility of intelligent decision-making algorithm based on DQL in the steering guidance system of railway locomotive crew. Compared with the traditional algorithm, DQL algorithm can achieve more efficient and accurate decision-making, and has better adaptability and stability. In this paper, the intelligent decision-making algorithm in the operation and guidance system of railway locomotive crew based on special domain language is deeply studied and discussed, which provides important theoretical support and technical guidance for the intelligent development of railway transportation.

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Published
2024-08-14
DOI
https://doi.org/10.1109/peeec63877.2024.00158
Primary Topic
Simulation and Modeling Applications
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article
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Intelligent Decision-Making Algorithm in the Steering Guidance System of Railway Locomotive Crew Based on Domain-specific Language

Shuzhong Wang, Zongying Song, Wenbin Wang, Wang Xing-zhong
Simulation and Modeling Applications
article

Intelligent Decision-Making Algorithm in the Steering Guidance System of Railway Locomotive Crew Based on Domain-specific Language

Shuzhong Wang, Zongying Song, Wenbin Wang, Wang Xing-zhong
article en

Abstract

Railway transportation, as an important mode of transportation, requires the flight attendants to make complex control decisions according to the real-time situation in order to ensure the safety and operation efficiency of the train. The traditional operation guidance system is often limited by fixed rules and strategies, and cannot adapt to the complex and changeable transportation environment, so it is necessary to introduce intelligent decision-making algorithm to improve the intelligent level of the system. The purpose of this paper is to study the design and application of intelligent decision-making algorithm in the steering guidance system of railway locomotive crew based on specific domain language. In this paper, firstly, the intelligent decision-making algorithms in the field of railway transportation are summarized and analyzed, and the application and advantages of DQL (Deep Q-Learning) algorithm in intelligent transportation system are emphatically introduced. Then, according to the characteristics and requirements of the steering guidance system for railway locomotive crew, the design scheme of intelligent decision algorithm based on DQL is put forward, and the principle and implementation method of the algorithm are introduced in detail. Through experiments and results analysis, this paper verifies the effectiveness and feasibility of intelligent decision-making algorithm based on DQL in the steering guidance system of railway locomotive crew. Compared with the traditional algorithm, DQL algorithm can achieve more efficient and accurate decision-making, and has better adaptability and stability. In this paper, the intelligent decision-making algorithm in the operation and guidance system of railway locomotive crew based on special domain language is deeply studied and discussed, which provides important theoretical support and technical guidance for the intelligent development of railway transportation.

China Shenhua Energy (China) (CN)
Peace, Justice and strong institutions
Openalex Percentile: Top 69%
Simulation and Modeling Applications
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Intelligent Decision-Making Algorithm in the Steering Guidance System of Railway Locomotive Crew Based on Domain-specific Language — Shuzhong Wang, Zongying Song, et al. · (2024) | TGRS Research Map | TGRS