Abstract
According to World Health Organization, each year, over 1.2 million people die on roads, and between 20 and 50 million suffer non-fatal injuries. Based on international reports, Iran has a high death rate caused by road accidents. The objective of this study was to extract implicit knowledge from road accident data sets on roads of Iran through data mining. In this regard, three useful data mining techniques were combined: clustering, classification and rule extraction. Following the preparation stage, data were segmented via three clustering algorithms; Kohonen, K-Means and Twostep. Two-step cluster analysis is a one-pass-through data approach which generates a fairly large number of pre-clusters. Next, the optimized algorithm and cluster were identified, after which, in the classification level and by adding the drivers' demographic features through C5.0, a classification algorithm was employed so as to make the decision tree. Ultimately, the effects of these demographic features were investigated on road accidents. The characteristics such as age, job, driving license duration and gender proved to be more important factors in accident analysis. Certain rules of accidents were then extracted in each season of the year.
Highlights
In recent decades, human ability to generate and collect data has increased
The objective of this research was to identify the impact of drivers' demographic features on road accidents through data mining techniques
The results showed that pedestrians, motorcyclists and cyclists are more involved in severe injuries compared with car drivers
Summary
Human ability to generate and collect data has increased. Analysing, interpreting and making the maximum use of data is difficult and resource-demanding due to the exponential growth of many business, governmental and scientific databases. According to [1] the data mining technique enables organizations to properly utilize their capital data and promote decision-making. On the basis of World Health Organization report [3] more than 1.2 million people die each year on the world’s roads, while from 20 to 50 million suffer non-fatal injuries. Iran is experiencing the highest rate of such accidents resulting in fatalities and various levels of injuries (Table 1) whose costs, more often than not, entail a great impact on the socio-economic development of a society
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