To address the issues of relying on manual maintenance and insufficient digitization in the management of highway electromechanical equipment. This paper introduces the design and development process of the highway electromechanical Digital Twin platform from the perspective of full-lifecycle asset management and digital maintenance. The platform's functions focus on equipment asset management, providing a digital solution for real-time monitoring, fault alarm and diagnosis. The platform collects electromechanical equipment data and highway elements to construct a digital twin system integrated with map services, facilitating high-performance 3D visualization for equipment management. The system has designed a series of core modules to enhance platform performance, including scenario rapid construction, equipment layout schemes simulation, and equipment spatial correlation display. Through the application of a platform at the test site, the platform demonstrated the advantages of digital maintenance, boosting maintenance efficiency, and enhancing user interaction experience. The research has promoted the development of highway digitization.
This paper proposed the architecture of Chinese digital highway standard system. Firstly, the connotation of the digital highway was analyzed. Secondly, the standard system of other fields was analyzed, and the current situation and demand for the standard system of the digital highway were studied. Next, the model and architecture of the digital highway standard system were proposed. Finally, recommendations for the construction of a digital highway standard system were given. The research results of this paper can help to promote the standards development, and further enable the construction of digital highways.
To study the effect of autonomous vehicles on the characteristics of mixed traffic flow, and make up for the lack of actual scenarios on the road, the simulation approach is proposed. Firstly, we chose the Intelligent Driver Model and Longitudinal Control Model as the autonomous and manual vehicle car-following models, and set the detailed model parameters. In addition, we take highway as the research object, and used the simulation of urban mobility (SUMO) software to model three different types of scenarios. Finally, each scenario is simulated after setting different parameters, the autonomous vehicles proportion increases gradually from 10% to 90% at the rate of 10%, and collected the corresponding data to compute the travel time. Conclusions can be drawn through analysis, the travel time decreased as the proportion of autonomous vehicles increased under the same traffic volume, this result further proves that autonomous vehicles can improve road efficiency.
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