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Citation |
Makarova I, Mukhametdinov E, Tsybunov E. Transp. Res. Proc. 2018; 36: 465-471. |
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Copyright |
(Copyright © 2018, Elsevier Publications) |
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DOI |
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PMID |
unavailable |
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Abstract |
World trends in the area of engineering and technology are associated with intellectualization of both the processes and the technical systems. In many cases, exclusion of a human from the control loop provides certain advantages, but at the same time causes a number of problems. Large systems encounter a security issue. This also applies to transport systems for which the development of "unmanned vehicles" has become a logical result of implementation of the Intelligent Transport Systems (ITS) as a system strategy. Transition from creation of driver assistance systems to development of semi-autonomous and unmanned vehicles can be explained by desire of developers to ensure stability and safety of the transport system. However, according to analytical forecasts, while gradual intellectualization of vehicles will result in decreased role of human factor in statistics of road traffic accidents, it will also lead to the growth of their number due to technical malfunction. Therefore, the importance of measures to prevent sudden vehicle failures increases. The article shows the importance of intelligent on-board systems for improving vehicle diagnostic systems. A conceptual scheme of decision support system for managing vehicle service and its interactions with interactive diagnostic system are presented. A scheme of interaction of components of the on-board diagnostic system is provided, the interrelation of the structural and diagnostic parameters determining the state of the components and systems of the vehicle is shown. Such solutions enable improving the service system and optimizing its operation. It is shown that only system solutions in this field will increase reliability and faultless operation of autonomous vehicles, and will ensure their smooth and failure-free operation. Language: en |
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Keywords |
intelligent transport systems; reliability; safety; service strategy; unmanned ground vehicles |