Smart vehicle frames have many special uses and frameworks designed to
improve road safety and productivity. We are experiencing rapid advances in advanced
Inter Vehicular Communication (IVC) designed by Intelligent Transportation Systems
(ITS) to allow the collection, evaluation, and dissemination of applicable data. These
frameworks allow you to screen, monitor, and control different parts of the road. The
main research to regulate the behavior of the driver is focused on two issues: the
formation of identifiable patterns in the test and the grouping of the characteristics of
the driver's behavior. In this research proposal, we will have a layout of a Rule-Based
Fuzzy Polynomial Neural Networks system based on their behavior in different
profiles. Given our reproductive system, we have had the opportunity to speak
accurately with the control model, but the main probability models show that the
observer rating works relatively well with the sophisticated models.
Keywords: Inter Vehicular Communication, Intelligent Transportation Systems,
Rule-Based Fuzzy Polynomial Neural Networks.
