Comprehensive Evaluation Approach of Road Traffic Safety Based on Artificial Neural Network
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摘要: 为了提高评价的准确性,采用人工神经网络技术,建立了基于BP神经网络的道路交通安全综合评价模型.通过有效样本的学习,应用该模型,实现了对道路交通安全专家知识和经验的提取和存储.仿真实例验证了基于人工神经网络的道路交通安全综合评价模型的合理性和有效性.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.
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Key words:
- traffic safety /
- comprehensive evaluation /
- artificial neural network
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