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民用机场水泥道面维修计划的决策树模型
引用本文:凌建明,方意心,张家科,唐龙. 民用机场水泥道面维修计划的决策树模型[J]. 南京航空航天大学学报, 2019, 51(6): 828-834
作者姓名:凌建明  方意心  张家科  唐龙
作者单位:同济大学道路与交通工程教育部重点实验室,上海,201804
摘    要:为使机场道面管理的辅助决策更加精确,满足智能化的要求,需要对现有网络级决策算法进行改进。本文基于信息熵的概念,提出了民用机场水泥道面维修计划的决策树模型。模型检验与评价结果表明,该模型结果准确性高,具有交叉有效性和自修正能力。使用上海浦东国际机场道面管理系统案例进行验证,可知与传统模型对比,决策树模型可以充分考虑道面使用性能、结构性能以及管理需求主观因素,决策结果更加符合工程实际。

关 键 词:机场道面管理  辅助决策  决策树算法  信息熵
收稿时间:2018-07-19
修稿时间:2018-12-08

Decision Tree Model of Civil Airport Cement Pavement Maintenance Program
LING Jianming,FANG Yixin,ZHANG Jiake,TANG Long. Decision Tree Model of Civil Airport Cement Pavement Maintenance Program[J]. Journal of Nanjing University of Aeronautics & Astronautics, 2019, 51(6): 828-834
Authors:LING Jianming  FANG Yixin  ZHANG Jiake  TANG Long
Abstract:In order to make the assistant decision of airport pavement management more accurate and meet the requirements of intelligence, the existing network-level decision making algorithms need to be improved. Based on the concept of information entropy, we present a decision tree model of civil airport cement pavement maintenance plan. The model test and evaluation results show that the model has high accuracy, cross-validation and self-correcting ability. We take Shanghai Pudong International Airport pavement management system as an example. Compared with traditional models, the decision tree model is proved to encompass multi-factors, like pavement performance, structural performance and subjective factors of management needs. The results demosnstrate that the proposed model is more fit the engineering in practice.
Keywords:airport pavement management  decision support  decision tree algorithm  information entropy
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