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Road accident data for a period of 2 6 years on different sections of 8 National and State Highways in Haryana was collected from police records.
Table 1 PTW road accident data attributes S. no.
We experiment our proposed approach using road accident data.
The general principles of GUHA are first outlined, and then, the road accident data is analyzed.
Data mining has been proven as a reliable technique in analyzing road accident data.
However, [13, 14] shown that traditional statistical techniques has certain limitations in analyzing road accident data.
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We are using this 5 year of PTW road accidents data for the severity analysis.
Kashani et al. [14] used classification and regression tree (CART) to analyze road accidents data of Iran and found that not using seat belt, improper overtaking and speeding badly affect the severity of accidents.
In several EU Member States, significant discrepancies are observed between the non fatal road accident injury data provided by different data sources.
The road traffic accident data matrix covered more than 83,500 rows (each corresponding to a road traffic accident) and more than 100 columns (factors related to the accidents).
Under equivalent processes of external data acquisition, a direct comparison may be possible, e.g.: providing all national road accident related data as it happens (B), or in the form of a yearly dump (C).
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