Gwang-ho Ko
Sungkyunkwan University · 工学
研究室紹介
Professor Gwang-ho Ko's research lab specializes in sustainable transportation and urban systems, focusing on vehicle energy efficiency, CO₂ emission reduction, and intelligent driving behavior analysis using real-world data. The lab integrates GPS, OBD-II, and deep learning technologies to model fuel consumption and optimize driving patterns, particularly through features like fuel-cut functions in downhill driving. It also extends its research to macroeconomic and financial risk modeling, especially in predicting SME default rates using time-series forecasting. The lab emphasizes data-driven solutions for environmental sustainability and urban economic resilience in South Korea.
Research Overview
Research Output Trend
Figures are computed from collected data and may differ slightly.
Selected Papers
15A monitoring method for energy consumption of vehicles is proposed in the study. It is necessary to have parameters estimating fuel economy with GPS data obtained while driving in the proposed method. The parameters are trained by fuel consumption data measured with a data logger for the reference cars. The data logger is equipped with a GPS sensor and OBD connection capability. The GPS sensor measures vehicle speed, acceleration rate and road gradient. The OBD connector gathers the fuel consump
The South Korean residential real estate market is influenced by both the traditional dynamics of demand and supply and external factors such as housing policies and macroeconomic conditions. Considering the proportion of housing assets in individual wealth, market fluctuations can have significant implications. While previous studies have utilized variables such as GDP growth rate, patent issuance, and birth rate, and employed models such as LSTM and ARIMA for housing price predictions, many ha
엔진 회전속도가 1,500rpm 이상 일 때 차량의 가속 페달을 놓은 경우 인젝터 연료분사가 중지된다. 이것을 연료차단(fuel-cut) 기능이라 부르고, 현대의 대부분의 차량들은 이 기능을 장착하고 있다. 이 기능은 많은 경우 고속도로의 내리막 구간에서 작동된다. 이렇게 연료차단이 발생하는 경우 차량의 <TEX>$CO_2$</TEX> 배출 가스는 '0'이 된다. 서해안 고속도로에서 이 연료 차단 기능을 사용하면 2,000cc 승용차의 <TEX>$CO_2$</TEX> 배출량은 4% 감소한다. 그리고 내리막 구간의 경우 가장 효율적인 운전 패턴을 찾기 위하여 연료차단 기능을 AVL사의 CRUISE 소프트웨어로 시뮬레이션 하였다. 연비향상을 위해서 급격한 내리막 구간일 경우 연료 차단을 위한 차량의 하한 속도를 높게 유지해야 한다는 것을 CRUISE 소프트웨어 시뮬레이션으로 알 수 있었다. 또한 가장 우수한 연비 성능은 내리막 구간 내에서 연료차단과 재가속이 완료되어야 함을 알 수 있었
Abstract : The fuel is not injected when the driver doesn't push acceleration pedal of a vehicle with engine speed higher than about 1,500rpm above mid vehicle speed range. This is called “fuel-cut function” and almost every modern vehicle is equipped with this function. This is activated on downhill part of a highway most often. Therefore the vehicle- exhausted CO 2 can be zero in this downhill part if the driver could recognize this part of highway. We compared the vehicle-exhausted CO 2 emiss
The reduction rate of fuel consumption by showing the fuel injection data for driver was measured in this study. The fuel injection data are composed of injection period, real time fuel economy and average fuel economy. The fuel consumption was measured by processing the voltage signal of injector and driven distance by GPS sensor. The fuel consumption was reduced by driving more carefully, i.e driving more steady without sudden acceleration and deceleration watching these fuel injection data. T
Vehicle fuel consumption increases as driving speed, engine displacement and road surface roughness goes up. But the relation between these factors is not formulated yet. If the vehicle fuel consumption can be calculated for driving speed, engine size and road surface roughness, it will be very helpful for road construction, vehicle driving schedule and transportation policy. Fuel consumption was measured for different driving speeds, engine size and road roughness in this study. The test drivin