The idea of a smart city has evolved in recent years from limiting the city’s physical growth to a comprehensive idea that includes physical, social, information, and knowledge infrastructure. As of right now, many studies indicate the potential advantages of smart cities in the fields of education, transportation, and entertainment to achieve more sustainability, efficiency, optimization, collaboration, and creativity. So, it is necessary to survey some technical knowledge and technology to establish the smart city and digitize its services. Traffic and transportation management, together with other subsystems, is one of the key components of creating a smart city. We specify this research by exploring digital twin (DT) technologies and 3D model information in the context of traffic management as well as the need to acquire them in the modern world. Despite the abundance of research in this field, the majority of them concentrate on the technical aspects of its design in diverse sectors. More details are required on the application of DTs in the creation of intelligent transportation systems. Results from the literature indicate that implementing the Internet of Things (IoT) to the scope of traffic addresses the traffic management issues in densely populated cities and somewhat affects the air pollution reduction caused by transportation systems. Leading countries are moving towards integrated systems and platforms using Building Information Modelling (BIM), IoT, and Spatial Data Infrastructure (SDI) to make cities smarter. There has been limited research on the application of digital twin technology in traffic control. One reason for this could be the complexity of the traffic system, which involves multiple variables and interactions between different components. Developing an accurate digital twin model for traffic control would require a significant amount of data collection and analysis, as well as advanced modeling techniques to account for the dynamic nature of traffic flow. We explore the requirements for the implementation of the digital twin in the traffic control industry and a proper architecture based on 6 main layers is investigated for the deployment of this system. In addition, an emphasis on the particular function of DT in simulating high traffic flow, keeping track of accidents, and choosing the optimal path for vehicles has been reviewed. Furthermore, incorporating user-generated content and volunteered geographic information (VGI), considering the idea of the human as a sensor, together with IoT can be a future direction to provide a more accurate and up-to-date representation of the physical environment, especially for traffic control, according to the literature review. The results show there are some limitations in digital twins for traffic control. The current digital twins are only a 3D representation of the real world. The difficulty of synchronizing real and virtual world information is another challenge. Eventually, in order to employ this technology as effectively as feasible in urban management, the researchers must address these drawbacks.

With the rapid development of the times, modern educational technology and traditional teaching mode have produced a more effective online + offline hybrid teaching mode in teachers' exploration and innovation. Through this hybrid mode of college English teaching, to a large extent, it can expand the actual classroom, and also enable students to fully carry out English learning outside the classroom, which has a very significant positive effect on college Students' English learning and the construction of college classroom.

Taking Xinjiang Agricultural University as an example, based on Rain Classroom and Dingding platform, the linear algebra course changes the current situation of "emphasizing theory and ignoring application" in traditional mathematics classrooms, adding applied teaching cases with the background of industry and agriculture, using online and offline The blended teaching mode, through inquiry-based and case-based teaching methods and students' autonomous learning and discussion methods, develops from a teaching mode focusing on "teaching" to focusing on "learning". The teaching mode has been comprehensively reformed, and satisfactory results have been achieved.

This article is a study of the institutional governance of farmers in Bukit Batu District, Bengkalis Regency using the concept of Society 5.0 and the governance paradigm for analysis in peat area studies. This study aims to determine the form of institutional governance of smallholder agriculture in peat areas and determine the truth of the influence of community economic management and development indicators on Society 5.0, which results from empirical studies in the field. This study uses the mixed methods method, which combines quantitative and qualitative data analysis to measure the truth of information. The results of the study illustrate that the question study first finds existing forms of institutional governance walk, however still passive; this is caused by constraints of knowledge management plant horticulture in the region peat, utilization process nutrients, and management techniques group sustainable farming in aspect regulation government and empowerment company around through CSR; on the question, it has been furthermore found that management variables and community economic development have a positive influence on Society 5.0. This study uses quantitative analysis and calculation results from the SPSS analysis test to support this conclusion. From this study, it formulated recommendation from the synergy between economic development and management of peat areas to socio-economic and environmental impacts that must be considered by interested stakeholders, as well as maximizing function technology in making it easy to manage horticulture plants in peat areas as a form of Society 5.0 to minimize behind.