Simulation with using of functional resonance analysis method the traffic safety control of vehicles, which carrying out the transportation process

In the article, using the method of functional resonance analysis, the process of traffic safety control of vehicles that carry out cargo delivery and transportation of passengers, when their technical condition changes during operation, is simulated. Constant growth in transportation of cargo and p...

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Veröffentlicht in:IOP conference series. Materials Science and Engineering 2020-12, Vol.977 (1), p.12005
Hauptverfasser: Sakno, Olha, Sharai, Svitlana, Kolesnikova, Tatiana, Poliakov, Viktor, Hirman, Danylo
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Sprache:eng
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Zusammenfassung:In the article, using the method of functional resonance analysis, the process of traffic safety control of vehicles that carry out cargo delivery and transportation of passengers, when their technical condition changes during operation, is simulated. Constant growth in transportation of cargo and passenger by rolling stock of automobile transport requires the involvement in their implementation of a large number of vehicles and increase the efficiency of their operation. In the last time, the geography of the movement of material flows has been expanding, which is manifested, in particular, in an increase of cargo and passenger traffic in international and intercity transportation by road. These trends entail the need to ensure the serviceable technical condition of modern vehicles designs. On the basis of statistical data, the reasons of the change of the technical condition of the chassis of the vehicles and their influence on its operational properties were analyzed. Resilience Decision Support (Resilience DS) software is used to solve this problem. Such a tool made it possible to simulate the sociotechnical system "Person-Car-Organization of maintenance and repair system" and to form the formal models for constant evaluation of the effective functioning of the system of maintenance of vehicles and conditions of increasing their operation. To develop a maintenance model using a functional resonance analysis method, data was collected at a proprietary vehicle maintenance station. The model consists of a set of functions that determine the actions executed during maintenance of vehicles.
ISSN:1757-8981
1757-899X
DOI:10.1088/1757-899X/977/1/012005