Smart City Gnosys
Smart city article details
| Title | Smart Traffic Monitoring And Control System |
|---|---|
| ID_Doc | 51593 |
| Authors | Bakirova L.R.; Bayramov A.R. |
| Year | 2023 |
| Published | Lecture Notes in Networks and Systems, 610 LNNS |
| DOI | http://dx.doi.org/10.1007/978-3-031-25252-5_92 |
| Abstract | The article deals with the issues related to digitalization and the development of digital railways in connection with the transition to a high level of technological development. Improving the data-ware and intelligent structure of railways is one of the pressing issues to promote the innovation and development of railways and increase their basic competitiveness. Intelligent transportation systems (ITS) refer to information and communication technologies improving transportation outcomes such as transportation security, transportation productivity, travel reliability, informed travel choices, environmental protection, information exchange, and safety, which are applied to transport infrastructure and vehicles. Perspectives of the smart railway are presented, which allow the railway to be managed on the basis of information security based on the research results, the application of modern sensor and information communication technologies, and big data technology with the aim of efficient use of future smart transport in internal and external connected areas within the trends of creating smart cities and smart villages. An integrated overall structure of the high-level design of intelligent railways and a structural functional model of intelligent monitoring and traffic control systems are proposed to enable the development of high-speed railway construction. Also, the level of big databases, types of big data models, and various big data techniques are reviewed and summarized. The results of this research identify current research gaps and thus directions for future research in BDA in railway transport systems. The ability to use fuzzy logic in control and decision-making under conditions where risks are minimized and eliminated in the railway system by computing known linguistic terms and graphing uncertain knowledge is of great importance. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG. |
| Author Keywords | Big Data; Digital railway; Intelligent transportation systems (ITS); Internet of Things (IoT); Machine learning; Smart monitoring |
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