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http://dx.doi.org/10.12652/Ksce.2017.37.1.0111

Forecasting of Probability of Accident by Analizing the Traffic Accident Data : Main Intersections on Arterial Roads in Busan  

Jung, Kun Young (Pukyong National University)
Bae, Sang Hoon (Pukyong National University)
Publication Information
KSCE Journal of Civil and Environmental Engineering Research / v.37, no.1, 2017 , pp. 111-117 More about this Journal
Abstract
The purpose of forecasting the traffic accident is to reduce the traffic accident. Therefore, the goal of this study is to provide severity of the accident by Forecasting of Probability of Accident. In Korea, accident data are distributed to the public via internet that includes numbers of accident and fatality as well. And crude level of accident severity in accordance with weather information for metropolitan city level are available by weekly. However, It can not reflect personal needs at specific origin of the travel for a certain traveller. This study aims to consider 68 major intersections with precipitation data, and eventually introduces link based accident severity. In estimating the accident severity both dynamic data such as drivers' characteristics, driving conditions and static data such as geometry of road, intersection characteristics are considered. Also, we identifies accident severity according to the accident type - 'vehicle to vehicle,' 'vehicle to person.' Finally, the outcomes of this study suggests taylor-made accident severity information for a specific traveller for a certain route.
Keywords
Traffic accident; Probability; Major intersection; Customized route;
Citations & Related Records
Times Cited By KSCI : 3  (Citation Analysis)
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