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A study on urban road traffic safety based on matter element analysis.
Qizhou Hu1, Zhuping Zhou1, Xu Sun2
1School of Automation, Nanjing University of Science and Technology, Nanjing 210094, China.
Computational Intelligence and Neuroscience
|January 15, 2015
Summary
This study introduces a novel urban road traffic safety evaluation using matter element analysis. This approach overcomes limitations of existing methods, offering a superior, comprehensive appraisal model for enhanced road safety.
Area of Science:
- Urban planning and transportation engineering.
- Road safety assessment and risk management.
Background:
- Traditional urban road traffic safety evaluations face challenges with uncertainty and factor incompatibility.
- A need exists for robust methodologies to comprehensively assess urban traffic safety features.
Purpose of the Study:
- To develop and evaluate a new urban road traffic safety appraisal model.
- To investigate the features of urban road traffic safety using a novel theoretical framework.
Main Methods:
- Application of matter element analysis theory for a comprehensive appraisal model.
- Development of a versatile matter element analysis algorithm.
- Construction of a criterion function for a hierarchical evaluation system.
Main Results:
- The matter element matrix effectively addresses uncertainty and incompatibility in traffic safety factors.
- The proposed evaluation model demonstrates superiority over existing methods.
- A didactic example confirmed the model's computational procedure and effectiveness.
Conclusions:
- Matter element analysis provides a robust framework for urban road traffic safety evaluation.
- The developed model offers a superior and comprehensive approach to assessing traffic safety.
- This methodology enhances the ability to manage and improve urban road safety.
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