Notice of Retraction: Modeling of urban security assessment based on attribute recognition theory

2010 ◽  
Author(s):  
Xiaoyan Tao
Keyword(s):  
Security Assessment ◽  
Urban Security ◽  
Recognition Theory ◽  
Attribute Recognition

Development of an Evaluation Model of Freeway Traffic Safety Facilities System

2013 ◽  
Vol 734-737 ◽  
pp. 1578-1581
Author(s):  
Yan Yong Guo ◽  
Yao Wu ◽  
Liang Song ◽  
Hui Duan
Keyword(s):  
Traffic Safety ◽  
Evaluation System ◽  
Evaluation Model ◽  
Variation Coefficient ◽  
Freeway Traffic ◽  
Evaluation Result ◽  
Single Index ◽  
Recognition Theory ◽  
Attribute Measure ◽  
Attribute Recognition

This study developed an evaluation model of freeway traffic safety facilities system. Firstly, an evaluation system of freeway traffic safety facility was proposed. Secondly, an evaluation model was proposed based on attribute recognition theory. And the evaluation result was identified according to the attribute measure value of single index and the comprehensive attribute measure value of multiple indexes as well as the confidence criterion. Thirdly, the weight of each indicator was decided by variation coefficient. Finally, A case of TAI-GAN freeway (K1+242~K3+259 segment) was conducted to verify the feasibility and effectiveness of the model.

scholarly journals Highway safety influencing factors in cold regions based on attribute recognition theory

2018 ◽  
Vol 10 (12) ◽  
pp. 168781401881833
Author(s):  
Xue-jing Du ◽  
Yu-long Pei ◽  
Zhan-yu Wang ◽  
Zhan-li Chen ◽  
Hua-chen Zhou
Keyword(s):  
Influencing Factors ◽  
Traffic Safety ◽  
Road Traffic ◽  
Evaluation Model ◽  
Indicator System ◽  
Highway Traffic ◽  
Cold Regions ◽  
Road Traffic Safety ◽  
Recognition Theory ◽  
Attribute Recognition

To study the problem of highway traffic safety in cold regions, a thorough statistical analysis using traffic accident historical data is used to evaluate the influencing factors on highway traffic safety. A road traffic safety indicator system for cold regions is developed to evaluate the weight of these influence factors, such as driver performance, vehicle capacity, road condition, and general impact of the traffic environment. An index system of highway traffic safety influencing factors for cold regions is developed, and an evaluation model for traffic road safety influencing factors in cold regions based on attribute recognition theory is proposed. The weight of the model is determined using an analytic hierarchy process combined with expert scoring. The evaluation model is based on single-index attribute measure values and multi-index comprehensive attribute measurement values, using the confidence criterion to identify the influence of road traffic safety factors on road traffic safety in cold regions. In addition, the fuzzy comprehensive evaluation method is used for comparative evaluation, and the evaluation results were consistent and verified the correctness and feasibility of the attribute recognition model. Results showed that the evaluation system was in good agreement with actual traffic conditions in cold regions.

scholarly journals EVALUATING THE URBAN PUBLIC TRANSIT NETWORK BASED ON THE ATTRIBUTE RECOGNITION MODEL

Transport ◽  
2010 ◽  
Vol 25 (3) ◽  
pp. 300-306 ◽  
Author(s):  
Qi-Zhou Hu ◽  
Hua-Pu Lu ◽  
Wei Deng
Keyword(s):  
Quantitative Research ◽  
Public Transit ◽  
Real Data ◽  
Urban Traffic ◽  
Recognition Model ◽  
Transit Network ◽  
The Public ◽  
Recognition Theory ◽  
Attribute Recognition ◽  
The Government

The aim of this paper is to propose an attribute recognition model, so that it can be used to simultaneously estimate the public transit network system. Based on the analysis of a variety of factors influencing the public transit network, quantitative research has been conducted with reference to the attribute recognition theory in order to make scientific decision‐making. On the basis of defining attribute measure, this paper presents the attribute recognition model suggesting the attribute recognition theory that can be used to evaluate the public transit network. The reliability of the new method can be explained using real data of the survey on the public transit network in China. The applied results offer scientific reference for instructing and controlling urban traffic by the Government. The main advantages of the new model are in contexts where internal linkage and shared inputs between activities can be considered. The structure of this mode is more realistic than that of the conventional one.

Application of Attribute Recognition to Highway Conditions Evaluation

2011 ◽  
Vol 403-408 ◽  
pp. 2304-2308 ◽  
Author(s):  
Shang Yang Yang ◽  
Long Yun Zhang ◽  
Yue Gao
Keyword(s):  
Entropy Method ◽  
Power Weight ◽  
Pavement Condition ◽  
Recognition Model ◽  
Recognition Theory ◽  
Appraisal Method ◽  
Attribute Recognition ◽  
Highway Pavement

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.

Sign in / Sign up

Export Citation Format

Share Document