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Gwang-ho Ko

Sungkyunkwan University · Engineering

About the Lab

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.

fuel efficiencyCO₂ emissionsvehicle monitoringtime-series forecastingSME default prediction

Research Overview

Papers
39
Total Citations
79
Papers (5y)
8
Primary Field
Engineering

Research Output Trend

Figures are computed from collected data and may differ slightly.

Publications per year (5y)
8total
2020
2021
2023
2024
2025
Citations per year (5y)
18total
20202021202320242025

Selected Papers

15
1
Article|11 citations·2021
A Deep Learning Method for Monitoring Vehicle Energy Consumption with GPS Data
Kwang-Ho Ko, Tong-Won Lee, Seung‐Hyun Jeong
SJR Q1SustainabilityOA

A 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

Automotive EngineeringEngineering
2
Article|9 citations·2013
Optimal fuel-cut driving method for better fuel economy
Seong-Cheol Choi, Kwang-Ho Ko, In‐Seuck Jeung
SJR Q2International Journal of Automotive Technology
Automotive EngineeringEngineering
3
Article|7 citations·2023
Influence of Social Overhead Capital Facilities on Housing Prices Using Machine Learning
Juryon Paik, Seung-June Baek, Jun-Wan Kim, Kwang-Ho Ko
SJR Q2Applied SciencesOA

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

Economics and EconometricsEconomics, Econometrics and Finance
4
Article|6 citations·2012
A study on the improvement of vehicle fuel economy by fuel-cut driving
Kwang-Ho Ko, Seong-Cheol Choi
Journal of the Korea Academia-Industrial cooperation SocietyOA

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

Automotive EngineeringEngineering
5
Article|4 citations·2016
An Economic Calibration Method for Fuel Consumption Model in HDM4
Kwang-Ho Ko, Byung-Koo Moon, Tong-Won Lee, Won-Ho Lee, Ink-Yoon Yoo, Soohyung Lee, Daeseok Han, Seung‐Hyun Jeong
SJR Q2Wireless Personal Communications
Automotive EngineeringEngineering
6
Article|4 citations·2010
An Experimental Study on Reduction of CO2 Exhausted Emission by using Fuel-cut Function of Vehicles
Kwang-Ho Ko, Seung‐Hyun Jeong, In-Kyoon Yoo, Soo-Hyung Lee, Je-Won Kim
SJR Q3Transactions of Korean Society of Automotive Engineers

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

Civil and Structural EngineeringEngineering
7
Article|3 citations·2018
An Estimating Algorithm of Vehicle Collision Speed Through Images of Blackbox
Kwang-Ho Ko
Journal of Digital ConvergenceOA
Media TechnologyEngineering
8
Article|2 citations·2010
A Study on Reduction of Fuel Consumption by Displaying Fuel Injection Data for Drivers
Kwang-Ho Ko
SJR Q3Transactions of Korean Society of Automotive Engineers

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

Civil and Structural EngineeringEngineering
9
Article|1 citations·2011
The highway road painting policy for reduction of Co2 with fuel-cut function in downhill part of highway
Kwang-Ho Ko, In‐Seuck Jeung, Inkyoon Yoo, Jewon Kim, Soohyung Lee
SJR Q2KSCE Journal of Civil Engineering
Automotive EngineeringEngineering
10
Article|0 citations·2018
Experimental Study of Vehicle Signal Change for Generator Voltage Variation
Kwang-Ho Ko
Journal of the Korean Society of Industry ConvergenceOA
Automotive EngineeringEngineering
11
Article|0 citations·2010
연료분사정보 표시장치를 통한 자동차 연비향상 효과에 대한 실험적 연구
Kwang-Ho Ko
Aerospace EngineeringEngineering
12
Article|0 citations·2010
Fuel Consumption for Vehicle Speed, Engine Size and Road Surface Roughness
Kwang-Ho Ko, Inkyoon Yoo, Soohyung Lee, Jewon Kim
17th ITS World CongressITS JapanITS AmericaERTICO

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

Automotive EngineeringEngineering
13
Article|0 citations·2019
Detection Method of Vehicle Fuel-cut Driving with Deep-learning Technique
Kwang-Ho Ko
SJR Q4Journal of the Korean Chemical Society
Media TechnologyEngineering
14
Article|0 citations·2025
Design and Analysis of PCB Coils for Enhanced Thermal Performance in Domestic Induction Heating Cooktop
Kwangho Ko, Hyeon Soo Kim, Yun Seong Hwang, Seung Hyun Kang, Byoung Kuk Lee

In this paper, design methodology for printed circuit board (PCB) coils aimed at reducing temperature in domestic induction cooktops is proposed. To evaluate the thermal behavior according to the trace width, number of turns, and trace spacing, single-layer coil structures are developed and tested. To verify the applicability in IH cooktop systems, multilayer coil configurations are also designed and tested. By comparing the maximum temperature measured for each coil design through simulation an

Mechanical EngineeringEngineering
15
Article|0 citations·2024
Seasonal Analysis and Risk Management Strategies for Credit Guarantee Funds: A Case Study from Republic of Korea
Juryon Paik, Kwangho Ko
SJR Q3StatsOA

This study investigates the prediction of small and medium-sized enterprise (SME) default rates in Republic of Korea by comparing the performance of three prominent time-series forecasting models: ARIMA, SARIMA, and Prophet. The research utilizes a comprehensive dataset provided by the Korea Credit Guarantee Fund (KODIT), which covers regional and monthly default rates from January 2012 to December 2023, spanning 12 years. By focusing on Republic of Korea’s 17 major cities, the study aims to ide

Economics and EconometricsEconomics, Econometrics and Finance

Research Areas

Automotive EngineeringAerospace EngineeringEconomics and EconometricsCivil and Structural EngineeringAtomic and Molecular Physics, and OpticsMedia Technology

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