간행물
한국도로학회논문집 KCI 등재 International journal of highway engineering
- 발행기관 한국도로학회
- 자료유형 학술지
- 간기 격월간
- ISSN 1738-7159 (Print)2287-3678 (Online)
- 수록기간 1999 ~ 2026
- 주제분류 공학 > 토목공학 공학 분류의 다른 간행물
- 십진분류KDC 534DDC 625
권호리스트/논문검색
제28권 제1호 통권135호 (2026년 2월) 9건
1.
2026.02
구독 인증기관 무료, 개인회원 유료
This study aims to evaluate the feasibility of cementless concrete using industrial byproducts as an eco-friendly alternative to conventional cement concrete. Ground-granulated blast-furnace slag (GGBFS), fly ash (FA), and silica fume (SF) were employed as binder materials, and the mechanical performance, plastic shrinkage behavior, and microstructural characteristics of cementless concrete were investigated to verify its applicability as a structural and shotcrete material capable of reducing CO₂ emissions. Cementless concrete mixtures were prepared using GGBFS, FA, and SF as binders, activated by sodium hydroxide and sodium silicate with water-to-binder (W/B) ratios of 0.40, 0.45, and 0.50. Conventional cement concrete with equivalent water ratios was used for comparison. Compressive strength tests were conducted at curing ages of 1, 3, 7, 14, and 28 days. Plastic shrinkage cracking was evaluated according to the ASTM C1579 standard. Microstructural development and reaction products were analyzed using scanning electron microscopy (SEM) and X-ray diffraction (XRD), respectively. Cementless concrete with W/B ratios of 0.45 and 0.50 exhibited compressive strength comparable to or higher than that of cement concrete from early ages and demonstrated superior 28-day strength performance. No plastic shrinkage cracking was observed for any mixture, indicating excellent early-age crack resistance. SEM analysis revealed progressive densification of the microstructure owing to the formation of C-(A)-S-H and N-A-S-H gel phases with increasing curing age. XRD results showed limited portlandite formation in cementless concrete, accompanied by an increased development of aluminosilicate reaction products after 7 days, resulting in reduced porosity and enhanced structural compactness. Experimental results confirmed that cementless concrete incorporating industrial byproducts can achieve mechanical performance and durability characteristics comparable to or exceeding those of conventional cement concrete when an appropriate W/B ratio is applied. Reduced portlandite formation and dominant alkali-activated reaction products contributed to the improved chemical stability and resistance to deterioration. Therefore, cementless concrete has a strong potential as a sustainable construction material capable of reducing CO₂ emissions while maintaining its structural performance, particularly for shotcrete applications.
4,000원
2.
2026.02
구독 인증기관 무료, 개인회원 유료
This study identifies critical ESG decision factors for road pavement maintenance during the design phase, which dictate approximately 80% of infrastructure performance outcomes. A two-stage analytical framework was employed. First, the fuzzy-Delphi method filtered 72 industry indicators into 20 core factors based on expert consensus (defuzzification value≥0.7). Second, a revised importance-performance analysis prioritized these factors across five regional types (urban, mountainous, rural, coastal, and expressway) using a 10-member expert panel. Results revealed distinct regional priorities: urban areas emphasized low-noise construction, mountainous areas focused on ecological restoration, coastal areas prioritized durability, and expressways required worker safety system integration. Climate risk assessment (G10) and pollution prevention (E19) emerged as priorities across all regions. These findings prove that ESG evaluation in road maintenance must incorporate weighted regional differentiation rather than uniform criteria. Policy recommendations include implementing mandatory regional ESG checklists in design guidelines and establishing BIM-integrated performance-tracking systems.
4,200원
3.
2026.02
구독 인증기관 무료, 개인회원 유료
Potholes accelerate the pavement deterioration rate, posing a significant challenge to the Pavement Management System (PMS). Furthermore, potholes severely undermine road safety and traffic efficiency by causing vehicle damage and inducing evasive maneuvers. However, conventional manual maintenance methods are limited in their ability to respond rapidly to such degradation due to the inevitable time lag spanning from pothole occurrence and detection to repair. To address this, this paper proposes a fully automated framework that integrates real-time detection via crowdsourcing with robotic repair. In this paper, we quantify total delay times, comprising reporting, waiting, and repair phases, of 15 major routes in Jeju Island using an one-dimension corridor model. Simulation results demonstrate that the proposed system reduces the detection-to-repair time by over 90%, effectively eliminating administrative waiting times and significantly decreasing the number of residual potholes. This indicates that the proposed strategy can enhance the overall efficiency of the transportation network by minimizing the delay time and the number of residual potholes. By transitioning from methods reliant on manual labor to an operational model driven by data and operating in real time, this study confirms the technical and economic feasibility of the proposed system in optimizing the PMS, thereby simultaneously ensuring road safety and minimizing social costs.
4,000원
4.
2026.02
구독 인증기관 무료, 개인회원 유료
This study proposes a data-driven framework for analyzing freeway driving behavior using multiple real-world trajectory datasets, and applies it consistently to mainline and ramp sections. The four large-scale datasets—namely highD, exiD, NGSIM I-80, and NGSIM US- 101—were processed through a unified preprocessing pipeline that converted all variables to International System Units(SI), resampled trajectories to 10 Hz, applied Savitzky-Golay smoothing to speed, and removed physically implausible and statistical outliers based on joint physical-statistical criteria. For each vehicle, 24 summary features were constructed from six longitudinal indicators–speed, acceleration, deceleration, time headway (THW), distance headway (DHW), and time-to-collision (TTC)–using their minimum, maximum, mean, and standard deviation. Indicator distributions by road type were compared using relative frequency histograms with common binning; then, principal component analysis (PCA) and K-means clustering were applied independently to each dataset. The leading principal components revealed interpretable axes related to longitudinal driving intensity (speed and acceleration level), safety margin (THW/DHW/TTC), and onramp sections; responsiveness was characterized by acceleration-deceleration variability, as observed within the analyzed datasets. Cluster interpretation yielded four relative driving behavior categories–aggressive, responsive, stable, and defensive–defined within each dataset based on indicator levels and variability rather than absolute thresholds.
4,900원
5.
2026.02
구독 인증기관 무료, 개인회원 유료
As domestic traffic policies have shifted from vehicle-centric approaches to a ‘Safe Speed’ paradigm, the installation of roundabouts has surged. However, existing studies based on linear statistical models have failed to identify the complex non-linear interactions between geometric features and accident severity, limiting their ability to provide concrete design thresholds. To overcome the lack of traffic volume data, this study developed a geometry-based Design Capacity Index (DCI) and proposed a new analytical framework using the Equivalent Property Damage Only (EPDO) rate per unit capacity as the dependent variable. Utilizing a dataset of nationwide roundabouts (2007–2020), a grid search-optimized eXtreme Gradient Boosting (XGBoost) model and SHAP analysis were applied, achieving a 40.5 % performance improvement over linear baselines. The results revealed that circulatory roadway width was a dominant factor; contrary to the 'Road Diet' theory, ensuring 'Geometric Sufficiency' (wider lanes) proved more effective for safety in medium-to-large roundabouts. Furthermore, a 'Broad Optimal Zone' was identified within an inscribed circle diameter (ICD) of 35–70 m, while a 'Paradox of Scale' emerged beyond 70 m where safety benefits plateaued. Additionally, raised crosswalks served as essential offset measures, consistently reducing accident costs regardless of the intersection size. Based on these findings, this study provides empirical evidence for revising design guidelines to prioritize the 35–70 m ICD range and advocates for the mandatory installation of physical calming measures in oversized roundabouts.
4,200원
6.
2026.02
구독 인증기관 무료, 개인회원 유료
This study aims to enhance accessibility in transportation-disadvantaged areas by utilizing Large Language Model(LLM) to analyze public transportation and advanced mobility status data (e.g., platform taxis and Demand Responsive Transport(DRT)), and proposes a methodology to support region-specific mobility activation strategies. The study was divided into three stages: first, the collection of mobility data; second, the implementation of geographic information system (GIS)-based visualization and preprocessing; and third, the application of LLM-based image interpretation and classification. A variety of mobility data were consolidated into a unified spatial entity, converted into visualization information for LLM processing, and examined using a rule-based classification system to ascertain the mobility environment types. This approach addresses the limitations of single-data analysis and enables a multi-layered interpretation of regional transportation gaps. Through the LLM interpretation of visual elements, including grid colors, patterns, bus routes, and designated DRT operation areas, transportation characteristics such as mobility supply levels, DRT operation status, and taxi dependency were identified. The LLM model demonstrated a high level of performance with a precision rate of 78.2 %, accuracy rate of 73.1 %, recall rate of 91.8 %, and F1-score of 84.5 %. Notably, the recall rate exceeded 90 %, signifying comprehensive recognition of various transportation environment types. This study proposes an LLM-based spatial data interpretation framework for analyzing regional mobility conditions in Paju City. The integration of complex spatial information into QGIS enables the LLM to automatically analyze data, thereby unveiling micro-level mobility characteristics and identifying four types of regional mobility improvements.
4,000원
7.
2026.02
구독 인증기관 무료, 개인회원 유료
This study aimed to enhance the safety of autonomous bus services by systematically identifying safety-related factors and establishing priorities based on real-world operating environments. An expert survey was conducted using a autonomous bus currently operating in Pangyo Zero City as a case study. Building on the concept of the Operational Design Domain, a two-layer safety framework was developed consisting of four primary categories (Layer 1): physical infrastructure, operating conditions, communication environment, and weather conditions, and their corresponding detailed elements (Layer 2). A fuzzy Analytic Hierarchy Process(AHP) analysis revealed that physical infrastructure had the highest relative importance, with key safety-critical factors identified as intersection type, construction work zone, lane markings, and adverse weather. Subsequently, a strength, weakness, opportunity and threat (SWOT) analysis was employed to propose short-, mid-, and long-term strategic actions, including the enhancement of object recognition functions based on advanced camera sensor fusion, reinforcement of safety driver and onboard safety personnel systems, and establishment of infrastructure pre-notification systems for construction and maintenance activities. This study provides a quantitative prioritization of safety factors for autonomous bus services and links these findings to a practical technology and policy roadmap, contributing to the enhancement of safety and development of commercialization strategies for future autonomous public transportation services.
4,600원
8.
2026.02
구독 인증기관 무료, 개인회원 유료
This study analyzes the usage behavior and travel characteristics of shared micro-electric vehicle (micro-EV) mobility services using large-scale empirical data collected over three years (2023-2025) from three pilot regions in Korea: Daejeon, Mokpo, and Jeju Island. By integrating the location-based driving records, user information, trip surveys, and weather data, 66,843 valid trips were extracted, including 49,264 trips matched with user attributes. Usage behavior was first examined through statistical analyses of user demographics and surveybased information on trip purposes, multimodal connections, and user satisfaction. The results indicate that micro-EV services support diverse usage behaviors, ranging from commuting and campus travel to leisure, with distinct regional differences in user composition and service roles. A travel pattern analysis further revealed clear temporal and environmental characteristics, including pronounced seasonal peaks between July and October, higher weekday utilization associated with commuting demand, high concentration of trips during daytime hours, and a nonlinear response to weather conditions, in which usage increased under moderate temperatures but declined during extreme heat, cold, or precipitation. A distance-based analysis showed that micro-EV trips were generally short-distance in nature, while substantial regional variations existed. Daejeon was dominated by ultra-short campus-oriented trips, Mokpo exhibited a broader distribution of short urban trips linked to daily activities and tourism, and Jeju Island demonstrated a higher share of mid-distance trips reflecting industrial park commuting and inter-destination travel. A spatial origin-destination (OD) analysis further highlighted region-specific network structures, with Daejeon forming a compact hub-based network, Mokpo displaying a dispersed pattern centered on major transit facilities, and Jeju Island exhibiting a multipurpose network shaped by commuting and tourism mobility. These findings provide empirical evidence that shared micro-EV services function as flexible region-dependent mobility solutions, underscoring the need for differentiated operational strategies, station-based service planning, and integration with local transport systems to support sustainable urban mobility.
4,300원
9.
2026.02
구독 인증기관 무료, 개인회원 유료
This study aims to compare and analyze the characteristics of risk reflected by potential risks based on crash modification factors and actual crash risk based on observed accident data at the homogeneous segment level for all general national highways in the Seoul metropolitan area. Conventional road safety evaluations mainly rely on observed crash data, such as crash frequency and rates; however, this approach has limitations in reliably estimating the risk for segments with low crash frequencies or no recorded crashes. To address this limitation, this study estimated the potential risk using crash modification factors that quantified the effects of roadway geometric design and environmental characteristics on crash occurrence, and the actual crash risk was calculated based on severe injury crashes over a recent three-year period. The analysis results indicate that the rank correlation between the potential and actual crash risks is very low, and the agreement rate between the two risk grades is also limited. In particular, segments with low traffic volumes tend to show a high potential risk owing to their structural vulnerability, whereas their actual crash risk remains relatively low. These findings suggest that potential both measures represent different dimensions of roadway safety and must be interpreted in a complementary manner. This study contributes to overcoming the limitations of single-indicator crash-based safety evaluations and provides an analytical basis for comprehensively understanding both the structural roadway and observed crash risks.
4,300원
