Investigation and Analysis of Intelligent Application Scenarios Requirements for Highway Electromechanical Systems

This study aims to analyze the actual demands of practitioners in highway electromechanical systems for intelligent application scenarios and guide the research and application of intelligent technologies in highway electromechanical systems. We conducted a survey among front-line practitioners from government departments, operating units, design firms, construction companies, supervision units, and research institutions in 11 provinces and municipalities, and received a total of 625 valid responses. This study used the Likert scale to assess the demands of 20 intelligent application scenarios. The results show that there is a high demand for scenarios related to “Archive and Asset Management” “Modeling and Simulation” “Auxiliary Decision-Making” and “Auxiliary Operations” The differences in demands among different working units, job positions, and professional titles (P<0.05). The multiple linear regression analysis shows that the demands of application scenarios are significantly positively correlated with the expectation of highway intelligence development, the recognition of already deployed intelligent applications, and satisfaction levels. The main demand stems from the potential to support precise maintenance and reduce the workforce. However, immature technology and high costs remain the main obstacles. Practitioners in the field of highway electromechanical systems have shown strong and diverse demands for intelligent application scenarios. Therefore, research and development should give priority to applications such as “Auxiliary Operations” and “Auxiliary Decision-Making”, with a focus on actual needs. This research provides empirical basis for the further development of the intelligent application of highway electromechanical systems.