Comprehensive warning decision-making method of the operational bus based on typical dangerous working conditions

Abstract

Frequent occurrence of traffic accidents, especially large bus accidents with many casualties has become a focus of scientific study. In view of this, a comprehensive warning decision-making method is proposed, based on typical dangerous working conditions of the operational bus. Through the study of active safety technology, the data of typical dangerous working conditions of large buses is obtained. After the collection and procession of relevant driving parameters from vehicle sensors, the comprehensive early warning decision-making matrix is built. Thus, the early warning function is achieved by predicting whether the bus is in dangerous condition. The effect and feasibility of the method have been validated by tests and simulations. The results demonstrate that typical dangerous working conditions can be recognized accurately and the false alarm rate is less than 10% through the proposed method.