Density Traffic Accident Areas Reminder based on Open Data Analysis
| Autor: | Nguyen Tran Trung Hieu |
|---|---|
| Rok vydání: | 2017 |
| Druh dokumentu: | 學位論文 ; thesis |
| Popis: | 105 Nowadays, Traffic accidents (TAs) causes much damage regarding human and asset. TAs records have been stored and published in many Open Data sources. In this article, we propose a method of using clustering algorithm Density-based Spatial Clustering of Applications with Noise (DBSCAN) to classify the TAs' records to find the Density Traffic Accident Areas (DTAA). We also discuss the optimal variables in DBSCAN that need to consider when applied in real urban areas. We emphasize the characteristics of DTAA by the Bound Value (BV) and modeling some Reuse traffic characteristics. We then evaluate the performance and efficiency between DBSCAN and K-means clustering methods. The result clusters and characteristics can be easily adapted to real traffic applications for increase the travel safety. |
| Databáze: | Networked Digital Library of Theses & Dissertations |
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