Braking Intention Recognition Method Based on the Fuzzy Neural Network

This paper focuses on a braking intention recognition method based on the adaptive network-based fuzzy inference system (ANFIS) and the data of braking tests. The displacement of brake pedal and its change rate were selected as the parameters of braking intention recognition; the braking conditions were divided into light braking, medium braking, and emergency braking. The test scheme of braking intention identification was designed, the braking test platform was built based on a vehicle, and the sample data of multiple groups of braking conditions were obtained. The parameters of braking intention recognition were fuzzed, the model of braking intention recognition was constructed based on ANFIS, and the recognition model was trained and tested. For the above three typical braking conditions, the constructed model of braking intention recognition was verified offline by using the data of the braking test. The results show that the proposed braking intention recognition method has high accuracy of braking intention recognition, which provides a theoretical basis for further application research.