Performance Evaluation and Optimization of Traffic Electromechanical Engineering Based on Big Data

Abstract

The continuous development of big data technology and its penetration in various industries has created unprecedented development prospects for the industry, and has had an important impact on promoting digitalization, intelligence and information in specific industries. As an important part of the transportation system, traffic mechanical and electrical engineering plays an important role in planning and guiding the operation of the transportation system. Its performance reliability will largely determine the operating efficiency and safety of the transportation system. Therefore, this study takes the definition and characteristics of traffic mechanical and electrical engineering as the starting point to explore the application value of big data in traffic mechanical and electrical engineering. After analyzing the performance evaluation needs of three major traffic mechanical and electrical engineering such as monitoring, communication and charging, it gives the performance evaluation strategies and optimization measures based on big data. While providing reference for the development of traffic mechanical and electrical engineering, It is also hoped that the research results can promote the development and evolution of traffic mechanical and electrical engineering, and open up new development ideas for other mechanical and electrical engineering related industries.