التفاصيل البيبلوغرافية
| العنوان: |
Classification of the Road Network Vulnerability Based on Fuzzy Clustering Method |
| المؤلفون: |
Guo, Xiang Yang, Xiong, Wen Ting |
| المصدر: |
Advanced Materials Research; September 2014, Vol. 1030 Issue: 1 p1974-1983, 10p |
| مستخلص: |
Current researches on road network vulnerability (RNV) are mostly focused on its evaluation and calibration, while the classification is rarely studied. For there’s no unanimous and standard criterion in researches on the levels of RNV, it is urgent to find a practical method to define RNV classification for better traffic monitoring and management. In this study, a methodology based on fuzzy clustering is constructed to define the RNV categories. At the same time, this study presents a method to calibrate the availability of such classification. A case study using this methodology is implemented in Xingsha District, Changsha City for determining appropriate RNV categories in the year of 2011. It is found that (1) RNV of this district can be classified into three categories: serious vulnerable level, middle vulnerable level and feeble vulnerable level. (2) links in the artery are at serious vulnerable level of RNV (3) most links are at the middle vulnerable level, so the RNV in the district can be generally defined as at middle vulnerable level. |
| قاعدة البيانات: |
Supplemental Index |
