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路面径流水环境下交通承载力分析
引用本文:彭军龙,张学民.路面径流水环境下交通承载力分析[J].环境科学与技术,2011,34(11):180-184.
作者姓名:彭军龙  张学民
作者单位:1. 中南大学土木建筑学院,湖南长沙410075; 长沙理工大学交通运输工程学院,湖南长沙410114
2. 中南大学土木建筑学院,湖南长沙,410075
基金项目:国家自然科学基金项目资助(50808178); 湖南省教育厅基金(08C099); 教育部道路结构与材料实验室开放基金(KFJ080207)
摘    要: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而径流水质污染的关...

关 键 词:公路  交通承载力  神经网络  径流水  遗传算法

Analysis of Traffic Carrying Capacity Based on Runoff of Road Surface
PENG Jun-long,ZHANG Xue-min.Analysis of Traffic Carrying Capacity Based on Runoff of Road Surface[J].Environmental Science and Technology,2011,34(11):180-184.
Authors:PENG Jun-long  ZHANG Xue-min
Institution:PENG Jun-long1,2,ZHANG Xue-min1(1.School of Civil and Architectural Engineering,Central South University,Changsha 410075,China,2.School of Traffic and Transportation Engineering,Changsha University of Science and Technology,Changsha 410114,China)
Abstract:To discuss traffic capacity for control of total allowable amount of pavement runoff water,non-linearity of neural networks and whole random search capability of genetic algorithm were used,combing with detecting data of road surface runoff to establish an approach for traffic capacity calculation.The approach which may estimate traffic capacity in accordance with pollution data of road surface runoff water and do relational analysis between traffic capacity and runoff water pollution can provide a clear fo...
Keywords:road  traffic carrying capacity  neural networks  runoff  genetic algorithms  
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