Comprehensive Evaluation Approach of Road Traffic Safety Based on Artificial Neural Network
LI Xiangyong1, TIAN Peng1, JIANG Gefu2
1. Aetna School of Management, Shanghai Jiaotong University, Shanghai 200052, China; 2. School of Traffic and Transp., Southwest Jiaotong University, Chengdu 610031, China
Abstract：To enhance the validity of evaluation,based on ANN(artificial neural network),a comprehensive evaluation model of the safety of road traffic based on BP(back propagation) neural network was built.By the learning of some effective samples given,the extraction and storage of experts’ knowledge and experiences were realized with this model.Two simulation examples show that the proposed comprehensive evaluation model of road traffic safety based on BP neural network is reasonable and feasible.
