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COMPARATIVE ANALYSIS OF ROAD ACCIDENT DATABASES FOR CREATING A HIGH-QUALITY ACCIDENT PREDICTION MODEL
Krunoslav Tepeš, Davor Brčić, Dino Šojat
Tepeš, K., Brčić, D., Šojat, D., (2014). Comparative analysis of road accident databases for creating a high-quality accident prediction model. 9 th International Conference - Road Safety in Local Communities, Zaječar.
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Abstract:
The lack of traffic safety is one of the leading cause of death and disability in the world. Besides internal costs for traffic participants, traffic accidents produce significant external costs to society at national, regional and local level. Identification and quantification of traffic accident causes on a global scale is increasingly emphasized, and different mathematical models as tools for traffic accident prediction are considered to use. The analysis of traffic accidents is based on a set of comprehensive information obtained from road accident summaries in the past. When developing a mathematical model which analyses and predicts road accidents, it is necessary to process as many as possible data collections related to causes and consequences of accidents. This approach ultimately leads to a realistic database which has a uniform structure. From that kind of database, it is possible to read the current state properly, and to set up trends and correlations of traffic safety indicators for the entire road transport. This paper presents two sets of road accident data: in the European environment and in the Republic of Croatia. The analysis of these two data sets draws conclusions in order to create a more precise traffic accident prediction model on the national level.
Keywords:
road safety, road accident, database, risk factor
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