Pregled bibliografske jedinice broj: 703251
Comparative Analysis of Road Accident Databases For Creating a High-Quality Accident Prediction Model
Comparative Analysis of Road Accident Databases For Creating a High-Quality Accident Prediction Model // Road Safety in Local Community / Lipovac, Krsto ; Nešić, Miladin (ur.).
Zaječar: Academy of Cirminalistic and Police Studies, 2014. str. 57-64 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
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Naslov
Comparative Analysis of Road Accident Databases For Creating a High-Quality Accident Prediction Model
Autori
Tepeš, Krunoslav ; Brčić, Davor ; Šojat, Dino
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
Road Safety in Local Community
/ Lipovac, Krsto ; Nešić, Miladin - Zaječar : Academy of Cirminalistic and Police Studies, 2014, 57-64
ISBN
978-86-7020-299-3
Skup
IX International Conference Road Safety in Local Communities
Mjesto i datum
Zaječar, Srbija, 09.04.2014. - 11.04.2014
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
road safety; road accident; database; risk factor
Sažetak
The lack of traffic safety is one of the leading causes 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.
Izvorni jezik
Engleski
Znanstvena područja
Tehnologija prometa i transport
POVEZANOST RADA
Ustanove:
Fakultet prometnih znanosti, Zagreb