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
제27권 제6호 통권134호 (2025년 12월) 26건
21.
2025.12
구독 인증기관 무료, 개인회원 유료
김동협, 한대철
This study aims to quantitatively and qualitatively evaluate the operational effects of an emergency-vehicle preemption (EVP) system implemented in Anyang City and to derive improvement directions based on both empirical performance outcomes and user-experienced insights. Specifically, this study integrates three complementary methodologies: (1) controlled field tests comparing pre- and post-EVP travel performance under consistent traffic and signal conditions, (2) a one-year operational evaluation using 204 actual dispatch cases collected from six 119 Safety Centers, and (3) a structured survey of frontline firefighters who directly utilized the EVP system during actual emergency responses. The field test results indicated that the average travel time reduced by approximately 44% while the average travel speed increased by approximately 79%, with paired t-test verification confirming that the observed improvements were statistically significant and attributable to the EVP system instead of to random variations. Similarly, the operational evaluation indicated that the actual travel time reduced by an average of 49% compared with navigation-estimated values, whereas the golden-time (5 min) arrival rates for both fire/rescue and medical dispatches exceeded the regional average, with consistent performance demonstrated even under varying travel distances and road complexities. The firefighter survey further reinforced these findings, with respondents reporting clear improvements in golden-time achievement, reduced anxiety toward potential safety risks, and enhanced perceived safety during emergency trials, as well as identified several practical limitations such as route mismatches, occasional system malfunctions, and difficulty in perceiving preemption activation—factors that suggest necessary technical and operational refinements. In general, the EVP system was evaluated as an effective and highly practical tool that improves emergency-vehicle mobility, arrival-time stability, and operational reliability across diverse dispatch conditions. The combined quantitative and qualitative verification in this study underscores its value as a field-proven technology. Future studies should expand to multiregional longitudinal datasets, controlled analyses considering external variables such as traffic volume and weather, and quantitative evaluation of safety-related impacts such as reductions in intersection collisions or on-route risk exposure to assess the system’s broader policy and operational benefits more comprehensively.
4,300원
22.
2025.12
구독 인증기관 무료, 개인회원 유료
박수연, 가동주, 김형주
This study analyzes and compares the determinants of accident severity between human-driven vehicle (HDV) and autonomous vehicle (AV) mixed environments using collision data from the California Department of Motor Vehicles . To address the high dimensionality and categorical complexity of the dataset, an XGBoost-based classification model was developed and the Shapley additive explanations method was employed to explain the contribution and directional influence of each explanatory variable. An undersampling and ensemble approach was utilized to mitigate class imbalances and enhance the model stability. The results revealed that in an HDV environment, driver perception and evasive responses were dominant factors influencing crash outcomes, with collision direction and relative speed significantly affecting the severity. By contrast, in the AV–HDV mixed environment, intersection conditions and complex driving contexts were associated with higher accident severity, thus demonstrating the current limitations of AV systems in managing unstructured traffic scenarios. These findings suggest that as AV deployment progresses, the key determinants of crash severity shift from human behavioral factors to system and environmental factors, thus providing empirical insights for future AV safety evaluations and policy frameworks.
4,000원
23.
2025.12
구독 인증기관 무료, 개인회원 유료
오유승, 김영민
This study identifies psychological factors affecting the acceptance of demand-responsive transit (DRT) among elderly residents living in rural areas. Text mining and K-means clustering techniques were used for inductive content analysis to structure responses from multiple individuals regarding local public transportation and DRT services. Based on the structured perception survey results, key utterances were examined by a semantic group to identify clustered factors affecting the individual acceptance of DRT services and to interpret their specific meanings. Furthermore, key strategies for increasing DRT service acceptance were identified based on these interpretations. In-depth interviews were conducted with 53 elderly individuals living in rural areas of Jeju Island and the island regions of Yeosu City to understand their perceptions of local public transportation and DRT services. Text mining and clustering were performed on 173 pre-processed utterances, thus resulting in four core semantic groups: economic feasibility, connectivity, publicness/ethics, and service volume/supply. Through repeated review of utterances assigned to each semantic group, factors related to “publicness and ethics,” such as psychological and community norms including guilt over exclusive use of public resources, were identified as the most influential concerns regarding the introduction of DRT services. Additionally, requirements for connectivity were identified in the regional context, including expectations for integrating DRT with other transportation modes and concerns regarding uncertainties in travel time and distance. Based on these findings, strategies were proposed to improve the acceptance of DRT services among elderly residents in rural areas. The results suggest that, beyond overcoming the digital divide identified in previous studies, additional considerations are necessary when introducing DRT services in rural regions. Specifically, securing social consensus on the implementation, purpose, and broader impact of DRT services is essential for enhancing their acceptance. Furthermore, a DRT service model that accounts for connectivity with other transportation modes must be applied, while service models that reflect regional characteristics and contexts from the planning stage should be designed. By proactively addressing issues related to the digital divide, this study analyzes psychological factors beyond those associated with digital literacy. Future studies may expand to rural areas with diverse characteristics and contexts by applying advanced methodologies.
4,300원
24.
2025.12
구독 인증기관 무료, 개인회원 유료
문재필, 이유화, 심승보
The purpose of this study is to evaluate the applicability of an unsupervised outlier-detection method as a surrogate safety measure (SSM) to estimate the effect of AI-based Bike-Safe monitoring system. An SSM that utilizes near-miss data immediately before an accident occurs must be developed to compensate for inadequate bicycle accident data and missing reports. In particular, the omission level of accident reports related to bicycle users is higher on bicycle paths, which implies that the importance of an SSM in safety management is much greater than in the general road environment. Therefore, the unsupervised outlier-detection method was set as the SSM because it can be learned without a label, is suitable for streaming data, and is generalizable under limited data. Additionally, the DeepAnT(deep learningbased anomaly detection) model was selected as the most appropriate time-series outlier-detection method. Using the time-series prediction module of the learned DeepAnT model, we analyzed the frequency of outliers or avoidance behaviors based on a linear relationship between estimated and observed values. The history data of the acceleration change rate of each bicycle were applied to the DeepAnT model to evaluate the possibility of using alternative safety indicators. Thus, those data are expected to be applicable as an alternative safety indicator for bicycle paths.
4,000원
25.
2025.12
구독 인증기관 무료, 개인회원 유료
송현진, 강경표, 김승범
This study proposes a lightweight algorithm for real-time front-vehicle detection using low-resolution camera footage under various driving conditions. The proposed method first extracts driving lanes using Canny edge detection and the Hough transform, thus enabling efficient lane detection. A forward region of interest (ROI) is delineated based on the extracted lane geometry. Subsequently, YOLOv11 is employed to detect vehicles within each frame, where only those located inside the defined ROI are classified as preceding vehicles. To evaluate the applicability of the proposed method in diverse environments, its performance was assessed across six driving scenarios: normal driving, traffic congestion, complex structural environments, nighttime, tunnel sections, and sharp curves. Experimental results show that the proposed approach maintains a stable detection accuracy across different conditions while offering a low computational cost and a high processing speed. Compared with segmentation-based deep-learning lane-detection models, the proposed method demonstrates superior real-time capability and can operate using only a built-in monocular camera without relying on expensive sensors such as LiDAR, radar, or artificial markers. This study serves as a foundation for vision-based ADASs, front-vehicle-following control, and road-hazard detection systems.
4,000원
26.
2025.12
구독 인증기관 무료, 개인회원 유료
장지용
This study aims to evaluate the high-precision positioning capability and lane-level localization accuracy of low-cost RTK-GNSS(Real- Time Kinematic Global Navigation Satellite System) technology. This study compares the positioning accuracy and lane-level localization performance of a low-cost RTK-GNSS module with those of a commercial high-precision receiver under identical conditions. Specifically, the root-mean-square, lateral offsets from HD-map(High-Definition Map) lane centerlines, and lane-change detection rates were evaluated to examine the applicability of the module to advanced mobility systems. Based on experiments conducted using a two-axis linear motion device and actual-vehicle tests on expressways, the low-cost RTK-GNSS module demonstrated precision positioning and lane-level localization comparable to that of a commercial high-precision receiver under the same test conditions. In the precision-positioning evaluation, the maximum positioning error of the low-cost module is approximately 2 cm, which is larger than that of a commercial receiver. Nevertheless, its average error generally remained within the typical range of 1–2 cm, which is the expected range for fixed RTK solutions in opensky environments. Furthermore, the difference in the lane-level localization accuracy between the low-cost and high-precision modules remained at approximately 1 cm. Although the low-cost RTK-GNSS module employs fewer receiver channels compared with commercial high-precision units, the integration of the RTK-OMEGA solution, which supports robust integer ambiguity resolution and is a key element of RTK correction, enables it to perform comparably to a commercial module under identical test conditions. The performance-evaluation indicators and methodologies presented herein are expected to provide a meaningful foundation for future studies aimed at ensuring the reliability and safety of cost-effective RTK-GNSS technologies.
4,000원
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