A Proposed Waiting Time Algorithm for a Prediction and Prevention System of Traffic Accidents Using Smart Sensors

One of the applications neural networks is to predict fault section results traffic utilizing combined model estimation and self-learning models with smart sensors. The prediction can autonomously develop internal network fit pre-entered “traffic accident” data occurrence accident sections. In this paper, we propose waiting time for accidents in case by using a fuzzy expert system, comparison existing algorithms determining accidents. It used estimate or reliability as well. Typically, type collected number faults (the recorded during given interval) time-of-fault when each occurred), be utilized only group types, rather than type.