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http://dx.doi.org/10.12815/kits.2021.20.6.37

A Study on Estimation of Road and Transportation Facility Improvement Direction Using Random Forest  

Hwang, Jae-seong (Dept. of Transportation Eng., Univ. of Ajou)
Kim, Do-kyeong (Dept. of Transportation Eng., Univ. of Ajou)
Kim, Nam-sun (Police Science Institue, Autonomous Driving Police solution Center)
Lee, Choul-ki (Dept. of Transportation Systems Eng., Univ. of Ajou)
Publication Information
The Journal of The Korea Institute of Intelligent Transport Systems / v.20, no.6, 2021 , pp. 37-46 More about this Journal
Abstract
Government agencies, such as police and local governments, strive to prevent traffic hazards and create a comfortable road environment by pormoting transportation and road facilities. To this end, roads and transportation facilities are enhanced and adjusted, and improvement projects in areas with frequent traffic accidents are carried out. Usually, improvement projects in areas with frequent traffic accidents vary by projects and region. Moreover, these projects are carried out under the supervision of a person in charge and related parties. Hence, civil complaints and subjectivity are reflected in deriving priorities for the improvement projects, limiting the efficiency of the project. To this end, a study was conducted to estimate the direction of improvement of the project target site. This study comprehensively considered road, traffic, and accident conditions of representative projects with high effectiveness in handling traffic accidents. The results of the study state that the accuracy of estimating the improvement project was around 88%. In addition, the study found that there was a strong relationship between traffic volume, accident rate, and accident severity in estimating the improvement direction.
Keywords
Traffic Safety; Transportation facilities; TSM; Random Forest;
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