基于BP神经网络的高速公路交通安全评价系统设计与实现

Design and Realization of the Assessment System of Freeway Traffic Safety Based on BP Neural Network

针对高速公路交通安全现状,提出了应用BP神经网络评价模型进行高速公路交通安全评价.在建立了相应的高速公路交通安全评价体系基础上,对BP人工神经网络在高速公路交通安全评价的设计与实现进行了分析,结合高速公路交通安全评价的特点,采用C++语言与数据库技术,开发了基于BP人工神经网的交通安全综合评价软件,并进行了实例分析与验证.结果表明:BP神经网络算法应用于高速公路交通安全评价,具有良好的扩展性与开放性、收敛性和很强的自动调节能力.评价系统操作性强、结果可靠.

According to the actuality of freeway traffic safety, the model of BP neural network is proposed. Based on the build of the assessment index system, analyzing the design and realization of freeway traffic safety assessment and combining the characteristic of freeway safety assessment, the comprehensive assessment software based on BP neural network is developed by C＋＋ computer language and database technology. And this software was applied in examples . The result shows that the arithmetic of BP neural network was used in the assessment system of freeway traffic safety, which had good expansibility, opening, convergence ,and self-regulation ability. The assessment system is operable and the result is credible.