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Sangwan Lee, Jicheol Yang, Kuk Cho and Dooyong Cho
This study explored how transportation accessibility and traffic volumes for automobiles, buses, and trucks are related. This study employed machine learning techniques, specifically the extreme gradient boosting decision tree model (XGB) and Shapley Val...
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Sangwan Lee, Kuk Cho, Hyunbae Park and Dooyong Cho
This study explored the economic influence of introducing fully autonomous trucks (ATs) on the total cost of operation (TCO) from the viewpoint of freight transport operators. We utilized the cost?benefit analysis and scenario planning frameworks using a...
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Kuk Cho and Dooyong Cho
This paper describes a method that precisely estimates the position of images of traffic surveillance camera objects. We suggest a projection method with multiple traffic surveillance cameras through a local coordinate system into a global coordinate sys...
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