Application of Attribute Recognition to Highway Conditions Evaluation

被引：2
|
作者：
Yang Shang-yang [1 ]
Zhang Long-yun [1 ]
Gao Yue [1 ]
机构：
[1] Shanghai Jiao Tong Univ, Dept Phys & Math, Jinan 250023, Peoples R China
来源：
MEMS, NANO AND SMART SYSTEMS, PTS 1-6 | 2012年 / 403-408卷
关键词：
highway; conditions; attribute recognition model; entropy method; evaluation;
D O I：
10.4028/www.scientific.net/AMR.403-408.2304
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Highway is the primary foundation establishment of a city. Exact and timely evaluation for pavement condition plays an important role in keeping trafic flowing and safe, reducing accident, and bringing into play the estabhsh function of roadways. Base on the attribute recognition theory which makes efect identification and analysis for things, the attribute recognition model of evaluation for pavement condition is discussed, and the power weight is developed with the entropy method, which avoids the subjectivity and increases the reliability. This model introduced a simple and efective appraisal method of highway pavement condition.
引用
收藏
页码：2304 / 2308
页数：5
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