SHS Web Conf.
Volume 67, 2019Fifteenth Scientific and Practical International Conference “International Transport Infrastructure, Industrial Centers and Corporate Logistics” (NTI-UkrSURT 2019)
|Number of page(s)||6|
|Section||Information Technology, Artificial Intelligence|
|Published online||15 October 2019|
Structure of transformation of the road motion parameters in the control system
1 Kharkiv National Automobile and Highway University, Department of Organization and Road Safety, Kharkiv, Ukraine
2 Kharkiv National Automobile and Highway University, Department of Transport Technologies, Kharkiv, Ukraine
* Corresponding author: firstname.lastname@example.org
Over the past decades, the world has witnessed an increase in the number of vehicles. According to the accident analysis and to the existing transport problems, the development of automated traffic control systems using adaptive management methods is the most optimal way to improve road traffic quality. From the technological point of view, the system must function according to the requirements for the traffic flow level and to the assessment of traffic efficiency, so a clear comparison of systems is impossible under the conditions of various principles for identifying managerial impacts and the designation of management system. The authors’ analysis of the most commonly used traffic management technologies proves that experts choose the system architecture that affects its functions and the ability to implement one or another method of management. In accordance with the ITS approach and management tasks at each hierarchy level, we believe that the traffic management system of the intelligent transport system should be based on the principle of multi-level architecture using ring Ethernet technologies, which corresponds more to the diamond-shaped system structure; it allows to distribute methods of traffic management for purposes and to separate the informational and technological elements of the system.
© The Authors, published by EDP Sciences, 2019
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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