| dc.description.abstract |
Road fatality and injury are a worldwide issuein the transportation industry. Road traffic accidents are becoming increasingly significant due to highermortality, injury, and disability across the world, particularly in developing and transitional economies. Eighty-five percent of the total road traffic fatalities occur in developing nations, with Asia-Pacific accounting for roughly half of them. A variety of factors influence road safety, including technological, physical, social, and cultural factors. The purpose of this research was to design an autonomous braking system (AuBS). Using the Adaptive Neuro-Fuzzy Intelligent System (ANFIS), a DC motor, sensors, and SAuBS havebeen developed to customize the traditional hydraulic braking system. Thegenetic algorithm has been developed to simulate the fundamental characteristics of the automotive braking system. The AuBS systemgoal is to slow the car without the driver's help infrequent braking when the vehicle is moving at slower speeds. When the ANFIS performance is compared to that of the AuBSmodel, it is discovered that the ANFIS performs roughly 15% better. |
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