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http://dx.doi.org/10.12815/kits.2020.19.4.55

Developing Road Hazard Estimation Algorithms Based on Dynamic and Static Data  

Yang, Choongheon (Dept. of Infrastructure Safety Research, Future Infrastructure Research Center, Korea Institute of Civil Engineering and Building Technology)
Kim, Jinguk (Dept. of Infrastructure Safety Research, Future Infrastructure Research Center, Korea Institute of Civil Engineering and Building Technology)
Publication Information
The Journal of The Korea Institute of Intelligent Transport Systems / v.19, no.4, 2020 , pp. 55-66 More about this Journal
Abstract
This study developed four algorithms and their associated indices that can quantify and qualify road hazards along roadways. Initially, relevant raw data can be collected from commercial vehicles by camera and DTG. Well-processed data, such as potholes, road freezing, and fog, can be generated from the Integrated management system. Road hazard algorithms combine these data with road inventory data in the Data Sharing Platform. Depending on well-processed data, four different road hazard algorithms and their associated indices were developed. To test the algorithms, an experimental plan based on passive DTG attached in probe vehicles was performed at two different test locations. Selection of the test routes was based on historical data. Although there were limitations using random data for commercial vehicles, hazardous roadways sections, such as fog, road freezing, and potholes, were generated based on actual historical data. As a result, no algorithm error was found in the entire test. Because this study provides road hazard information according to a section, not a point, it can be practically helpful to road users as well as road agencies.
Keywords
Road hazard; Commercial vehicle; Road management system; Road inventory data; Dtg;
Citations & Related Records
Times Cited By KSCI : 6  (Citation Analysis)
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