Integration methods of a vehicles emergency response system based on navigational units

Abstract Studying the state of the art of current integration methods of a car engine with the automobile mechatronic system by using neural networks to orchestrate the methods of integration of a car engine with the automobile mechatronic system by using algorithmic electronic control based on new neural networks; to formulate the methodology of electronic model control of an engine with a mechatronic adapter; to design a model enabling calculation of input-output data; to analyze results of cold and hot tests of an engine, develop methods improving tests with the help of mechatronic adapter; to reason power and torque of an engine integrated with the mechatronic adapter; conceptualize the method of assessing fuel economy and environmental performances of an engine; put forward a guidance on research application and estimate economic efficiency. The article discusses the topic of improving the safety of transportation by introducing the latest capabilities of advanced technologies. The proposed solution uses the composition of engineering networks to expand such networks as ERA-GLONASS and e Call, which allows not only to transmit additional information, but also to combine information to determine the necessary means of emergency assistance and coordinate the entire emergency response operation. The key concept of the approach is to model the cyber-physical components of the human device using collections of resources that reflect them. Services have the ability to self-regulate, which allows them to independently adapt their behavior to the context of the vehicle driver's environment.

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