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为了对路面径流水容许污染总量控制下的交通承载力问题进行探讨,利用神经网络具有的非线性映射能力和遗传算法具有的全局随机搜索能力,结合公路路面径流水质检测数据,提出了一种基于遗传神经网络进行公路交通环境承载力反计算的分析方法,应用该方法可根据路面径流水质污染数据反演出路段交通量大小,并可据此进行交通量与路面径流水质污染的关联分析。该方法为控制路域水体环境污染以及公路项目实施前各类规划直至具体设计等一系列的决策工作提供了明确的依据,文章用一个实例对方法进行了演示。
In order to discuss the problem of traffic capacity under the control of runoff allowable total pollution of road surface, by using the nonlinear mapping capability of neural network and the global random search ability of genetic algorithm, combined with the runoff water quality testing data of highway pavement, Based on genetic neural network, this paper analyzes the traffic load capacity of road traffic environment by inverse calculation. By using this method, the traffic volume of road section can be derived from the data of road surface water quality pollution, and the correlation analysis of traffic volume and surface runoff quality can be carried out. The method provides a clear basis for controlling a series of decision-making tasks such as environmental pollution of waterways in the road and various types of planning before the implementation of the highway project, and so on. The article uses an example to demonstrate the method.