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Jungyeol Hong

As seen in: Nature, MDPI, Journal of Advanced Transportation
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Articles

Physics-guided estimation of freight vehicle loading status using digital tachograph data - Scientific Reports Original

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By Jungyeol Hong, Dongjoo Park, Jihoon Tak
| Nature Verified
Abstract Accurately distinguishing between empty and loaded freight vehicle operations is essential for improving logistics efficiency, reducing environmental impacts, and supporting evidence-based freight and infrastructure policies. In Korea, where empty running accounts for over 40% of truck trips, reliable load-status information can enable demand-driven routing, enhance freight origin–destination (OD) estimation, strengthen overloading enforcement, and optimize road maintenance strategies.
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Severity Predictions for Intercity Bus Crashes on Highway Using a Random Parameter Ordered Probit Model

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By Kanghyun Kim, Jungyeol Hong
| MDPI
4. Results 4.1. Descriptive Statistics The random parameter ordered probit model was applied to find fixed and random parameters that reflect heterogeneous observation characteristics, and the results showed that the coefficient value of each independent variable might have a variety of values by reflecting the unique characteristics of the variable. For the analysis of this study, raw intercity bus crash data on highways in South Korea from 2012 to 2016 were used.
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