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Machine vision in autonomous vehicles: designing and testing the decision making algorithm based on entity attribute value model

Shubenkova Ksenia, Zabinski Krzysztof

Archiwum Motoryzacji

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2021

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Vol. 94, nr 4

27--37

EN

If we speak about the Smart City’s transport system, autonomous vehicles idea is the first thing that comes to mind. Today, it is strongly believed that the autonomous vehicles’ introduction into the traffic will increase the road safety. However, driverless cars are not the solution by itself. The road safety and, accordingly, sustainability will strongly depend on decision making algorithms inbuilt into the control module. Therefore, the goal of our research is to design and test the data mining algorithm based on Entity–Attribute–Value (EAV) model for decision making in the Intelligent System in the fully- or semi-autonomous vehicles. In this article, we describe the methodology to create 3 main modules of the designed Intelligent System: (1) an Object detection module; (2) a Data analysis module; (3) a Knowledge database built on decision rules generated with the help of our data mining algorithm. To build the Decision Table on the base of the real data, we have tested our algorithm on a simple collection of photos from a Polish two-lane road. Generated rules provide comparable classification results to the dynamic programming approach for optimization of decision rules relative to length or support. However, our decision making algorithm thanks to excluding the mistakes made on the object detection stage, works faster than existing ones with the same level of correctness.

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A software module for multi-criteria suppliers’ selection with respect to the spare parts logistic

Makarova Irina, Shubenkova Ksenia, Buyvol Polina, Mukhametdinov Eduard

Transport Problems

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2020

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T. 15, z. 1

105--116

EN

Reliability of vehicles is characterized not only by the quality of production but also by the quality of subsequent maintenance. In this paper, we consider the possible spare parts logistics risks, as they have a huge influence on vehicles’ maintenance. One of the widespread methods to analyze the reliability of complex systems is Fault Tree Analysis (FTA). To identify and systematize all possible risks in spare parts logistics, we have built the Problem Tree. For managing identified risks, we propose a conceptual scheme of an inteligent system. In the framework of this paper, we describe one of the modules that make up this intelligent system. The proposed software module will help to choose the spare parts’ suppliers taking into account their reliability from the logistical point of view. It was tested with the use of real data from an automotive manufacturer.

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Safety Features of the Transport System in the Transition to Industry 4.0

Makarova Irina, Shubenkova Ksenia, Buyvol Polina, Mavrin Vadim, Giniyatullin Ilsur, Magdin Kirill

Archiwum Motoryzacji

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2019

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Vol. 86, nr 4

79--99

EN

World trends in the field of intellectualization and digitalization of all activity spheres, caused by the rapid growth of engineering and technology, have caused serious changes in the transport sector. Road transport has a negative impact on the environment, to a large extent this relates to city’s air pollution in urbanization conditions and the vehicle fleet accelerated growth. Reducing the negative vehicles impact on the environment is possible only through the development of integrated solutions for managing the transport system. Goal of this article is to study the applicability of decision support systems and simulation models to predict the possibility of reducing the negative vehicles impact on the environment. The developed simulation models for road network problem areas of the Naberezhnye Chelny city allow us to study the influence of traffic parameters on the volume of harmful substances in vehicles exhaust gases, as well as noise pollution. Using the model, it is also possible to assess the possible reduction in the degree of air pollution when converting engines public transport to natural gas fuel. Model experiments showed the adequacy of the proposed approach.