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With development and growth of technology, there has been an upsurge in number of vehicles on the street globally, which has resulted in increase of traffic jams and road accidents. This growing problem is being studied by researchers to find the solution. Fuzzy logic method is widely used in Intelligent Transportation Systems (ITS). In our study, considering various parameters required to control the vehicle safety, a fuzzy logic model was developed for automatic speed alert, brake alert with sensors and cameras in vehicles. For intelligent transport, Fuzzy Interface System (FIS) is developed to support drivers’ decision making and alert them to control speed and brake so as to avoid accidents. The Rule Based System was established using various linguistic rules. Accordingly, 50 effective IF—Then rules were generated in the present study. In conclusion, this model can be inbuilt in the vehicles, with different number of inputs and outputs and for a fully automated system, to reduce the road accidents and traffic jams. The outcome of the research would lead to reduction road accidents.

Application of Fuzzy Logic in Prevention of Road Accidents Using Multi Criteria Decision Alert