Exploration of the Application of Artificial Intelligence Large Language Models in the Beijing Subway Scientific Research Project Management Platform The Research Institute of Technical Innovation Branch Compan

Format:

Book

Conference/Event

Author/Creator:

Pang, Yuqi, author.

Contributor:

Liu, Jing

Ren, Laihong

Conference Name:

2025 5th International Conference on Smart City Engineering and Public Transportation (SCEPT2025) (2025-03-28 : Beijing, China)

Language:

English

Physical Description:

1 online resource cm

Place of Publication:

Warrendale, PA SAE International 2025

Summary:

This research is dedicated to exploring the application of large language models in the Beijing Subway scientific research project management platform. It conducts a thorough analysis of many key elements, including the application background, technical support, practical achievements, and future development paths.With the continuous development of the Beijing Subway construction scale, the number and complexity of scientific research projects have been gradually increasing. Traditional management models are getting more and more insufficient in dealing large amounts of data, complicated processes, and precise decision-making requirements. By using natural language processing, machine learning, knowledge graph pedigreestechnological and technical model related technologies, which are very different from the one of the most inventive ones, are presented. The objective of intelligence is to solve this model by automatically analyzing papers with a logical and scientific approach and logically forecast project development and cost. This not only greatly increases managerial efficiency; it also puts more and more rationalization into the industry, which is why the intelligent development of the business is encouraged to some extent and makes decision-making in a way that is both more sensible.But there are still some problems that the use of these kinds of models has to be done. Issues concerning the quality of data; these included data that was either inaccurate; these had an effect on the models' repeating. Numerous research organizations are also severely financially dependent because of the volume of data that is used; these problems are made worse by technical difficulties. Furthermore, because of the variations between the various types of data and the incompatible interfaces, the system integration operation is very complicated.These barriers are predicted to be resolved by huge language models in the future. They might be more intelligent and include many kinds of data in their integration. The rail transportation industry is going to see a greater use of this development in research and development, which will give the rail transit business a more complete view and more knowledgeable decision-making

Notes:

Vendor supplied data

Publisher Number:

2025-99-0027

Access Restriction:

Restricted for use by site license