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http://dx.doi.org/10.12815/kits.2022.21.5.90

Elderly Driver-involved Crash Analysis and Crash Data Policy  

Kim, Seunghoon (National Infrastructure Research Division in Korea Research Institute for Human Settlements)
Publication Information
The Journal of The Korea Institute of Intelligent Transport Systems / v.21, no.5, 2022 , pp. 90-102 More about this Journal
Abstract
Currently, in our society with a substantial and increasing fraction of the elderly population, transport safety for elderly drivers is becoming the center of attention. However, deficient data on vehicle crashes in South Korea limits the growth of traffic accident research pertaining to the country. So, we complemented South Korean vehicle crash data by examining USA vehicle crash data, especially the data of Ohio State, and analyzing the influential factors of elderly driver-involved crashes of the State. Subsequently, we suggested a way of improving the South Korean dataset. Notably, our study showed that the influential factors were vehicle speed, posted speed, and following other vehicles too close and provided them in the South Korean dataset.
Keywords
Machine learning; Crash data; Elderly driver-involved crash;
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