Safety Early Warning Research for Highway Construction Based on Case-Based Reasoning and Variable Fuzzy Sets

As a high-risk subindustry involved in construction projects, highway construction safety has experienced major developments in the past 20 years, mainly due to the lack of safe early warnings in Chinese construction projects. By combining the current state of early warning technology with the requi...

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Bibliographic Details
Published in:TheScientificWorld 2013-01, Vol.2013 (2013), p.1-10
Main Authors: Liu, Yan, Xu, Zhen-Jun, YI, Ting-Hua
Format: Article
Language:English
Subjects:
Accident prevention
Accidents, Occupational
Association analysis
China
Construction accidents & safety
Construction industry
Data mining
Design and construction
Early warning systems
Emergency communications systems
Engineering
Fatalities
Freeways
Fuzzy Logic
Fuzzy sets
Highway construction
Humans
Industry - methods
International conferences
Learning
Models, Theoretical
Occupational safety
Project engineering
Reasoning
Road construction
Roads & highways
Safety
Safety and security measures
Safety management
Safety Management - methods
Studies
Support Vector Machine
Support vector machines
Theory
Urban planning
Warning systems
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Summary:As a high-risk subindustry involved in construction projects, highway construction safety has experienced major developments in the past 20 years, mainly due to the lack of safe early warnings in Chinese construction projects. By combining the current state of early warning technology with the requirements of the State Administration of Work Safety and using case-based reasoning (CBR), this paper expounds on the concept and flow of highway construction safety early warnings based on CBR. The present study provides solutions to three key issues, index selection, accident cause association analysis, and warning degree forecasting implementation, through the use of association rule mining, support vector machine classifiers, and variable fuzzy qualitative and quantitative change criterion modes, which fully cover the needs of safe early warning systems. Using a detailed description of the principles and advantages of each method and by proving the methods’ effectiveness and ability to act together in safe early warning applications, effective means and intelligent technology for a safe highway construction early warning system are established.
ISSN:2356-6140
1537-744X
1537-744X
DOI:10.1155/2013/178954