간행물
한국도로학회논문집 KCI 등재 International journal of highway engineering
- 발행기관 한국도로학회
- 자료유형 학술지
- 간기 격월간
- ISSN 1738-7159 (Print)2287-3678 (Online)
- 수록기간 1999 ~ 2025
- 주제분류 공학 > 토목공학 공학 분류의 다른 간행물
- 십진분류KDC 534DDC 625
권호리스트/논문검색
제27권 제1호 통권129호 (2025년 2월) 16건
1.
2025.02
구독 인증기관 무료, 개인회원 유료
Experimental findings pertaining to the frost resistance of calcium sulfoaluminate (CSA) and amorphous calcium aluminate (ACA) cement-based repair mortars incorporated with anhydrite gypsum are described herein. To prepare the mortars, CSA and/or ACA cements were used as binders, and the water–binder ratio was fixed at 0.57. The compressive and bond strengths, chloride-ion penetration resistance, and scaling resistance of the mortars were measured. Based on the ASTM C666 method, the resistance to both frost action and multi-deterioration of chloride and frost attacks on the mortars were experimentally examined. Calcium aluminate-based binders effectively enhanced the compressive and bond strengths of the mortars owing to the formation of C2AH8 and Ye’elimite hydrates. Furthermore, replacing 25% ACA with OPC yielded excellent resistance to both frost attack and multi-deterioration of chloride and frost attacks. Replacing ACA at an appropriate level as a binder effectively improves the durability of concrete road facilities in winter.
4,000원
2.
2025.02
구독 인증기관 무료, 개인회원 유료
To analyze the effect of fire in electric-vehicle battery on concrete cement structure. A scenario evaluation was conducted for fire occurrence due to external influences on lithium battery cells used in electric vehicles. Visual inspection was conducted at each stage of the battery fire, and the fire duration and temperature were measured. The battery temperature rise curve and temperature during fire have been examined previously. The stability of a cement structure was evaluated via X-ray diffraction and SEM analyses of the reaction-product changes with respect to temperature. The battery temperature rise curve shows that the battery begins to change at 200 °C–300 °C. However, the general stage of battery damage cannot be readily confirmed from the literature. The current experiment and literature review indicate that battery fire can cause the fire temperature to increase beyond 1000 °C within a few seconds. The reaction product changes structurally in cement from 300 °C or higher. Many voids are generated owing to the decomposition of Ca(OH)2 and C-S-H gel. The temperature of an electric-vehicle fire increases rapidly to 1000 °C or higher within a few seconds. High temperatures change the reaction products in cement structures, thus creating internal voids and cracks and reducing the stability of the structure; therefore, the appropriate countermeasures must be identified.
4,000원
3.
2025.02
구독 인증기관 무료, 개인회원 유료
This study addresses the critical challenge of enhancing vehicle classification accuracy in traffic surveys by optimizing the conditions for vehicle axle recognition through artificial intelligence. With current governmental traffic surveys facing issues—particularly the misclassification of freight vehicles in systems employing a 12-category vehicle classification—the research proposes an optimal imaging setup to improve axle recognition accuracy. Field data were acquired at busy intersections using specialized equipment, comparing two camera installation heights under fixed conditions. Analysis revealed that a shooting height of 8.5m combined with a 50°angle significantly reduces occlusion and captures comprehensive vehicle features, including the front, side, and upper views, which are essential for reliable deep learning-based classification. The proposed methodology integrates YOLOv8 for vehicle detection and a CNN-based Deep Sort algorithm for tracking, with image extraction occurring every three frames. The axle regions are then segmented and analyzed for inter-axle distances and patterns, enabling classification into 15 categories—including 12 vehicle types and additional classes such as pedestrians, motorcycles, and personal mobility devices. Experimental results, based on a dataset collected at a high-traffic point in Gwangju, South Korea, demonstrate that the optimized conditions yield an overall accuracy of 97.22% and a PR-Curve AUC of 0.88. Notably, the enhanced setup significantly improved the classification performance for complex vehicle types, such as 6-axle dump trucks and semi-trailers, which are prone to misclassification under lower installation heights. The study concludes that optimized imaging conditions combined with advanced deep learning algorithms for axle recognition can substantially improve vehicle classification accuracy. These findings have important implications for traffic management, infrastructure planning, road maintenance, and policy-making by providing a more reliable and precise basis for traffic data analysis.
4,000원
4.
2025.02
구독 인증기관 무료, 개인회원 유료
This paper presents a finite-difference method (FDM)-based heat-transfer model for predicting black-ice formation on asphalt pavements and establishes decision criteria using only meteorological data. Black ice is a major cause of winter road accidents and forms under specific surface temperature and moisture conditions; however, its accurate prediction remains challenging owing to dynamic environmental interactions. The FDM incorporates thermodynamic properties, initial pavement-temperature profiles, and surface heat-transfer mechanisms, i.e., radiation, convection, and conduction. Sensitivity analysis shows the necessity of a 28-d stabilization period for reliable winter predictions. Black-ice prediction logic evaluates the surface conditions, relative humidity, wind speed, and latent-heat accumulation to assess phase changes. Field data from Nonsancheon Bridge were used for validation, where a maximum prediction accuracy of 64% is indicated in specific cases despite the overestimation of surface temperatures compared with sensor measurements. These findings highlight the challenges posed by wet surface conditions and prolonged latent-heat retention, which extend the predicted freezing duration. This study provides a theoretically grounded methodology for predicting black ice on various road structures without necessitating additional measurements. Future studies shall focus on enhancing the model by integrating vehicle-induced heat effects, solar radiation, and improved weather-prediction data while comparing the FDM with machine-learning approaches for performance optimization. The results of this study offer a foundation for developing efficient road-safety measures during winter.
4,000원
5.
2025.02
구독 인증기관 무료, 개인회원 유료
This study evaluates the applicability of mastic asphalt concrete for backfilling mini-trenches of communication cables. Characterization tests, such as the dynamic modulus, flow-number, Texas overlay, four-point bending beam, and Hamburg wheel tracking tests, were conducted on conventional mastic asphalt concrete and lower-temperature mastic asphalt concrete. A structural analysis of the backfilling of mini-trenches of mastic asphalt concrete was performed and compared with the results of conventional soil backfilling methods using the finite-element method. The performance year was calculated based on the strain behavior and the results of the structural analysis. A life-cycle cost analysis (LCCA) was performed based on net-present-value method. The results of laboratory experiments show that the lower-temperature mastic asphalt concrete performs better than conventional mastic asphalt concrete in terms of resistance to permanent deformation and fatigue cracking. The performance year of the mastic asphalt concrete is three times longer than that of the conventional sand-backfilling mini-trench. The LCCA results indicate that the cost of backfilling by the mastic asphalt concrete is two times lower than that by the conventional sand-backfilling mini-trench.
4,200원
6.
2025.02
구독 인증기관 무료, 개인회원 유료
This study evaluates adhesion strength under various conditions to ensure adhesion performance during asphalt-pavement maintenance. The adhesion performance of a tack coat varies under various conditions. Therefore, to evaluate its curing behavior, several tests, i.e., evaporation residue rate, tracking, tack-lifter, and shear bond strength tests, were conducted based on the type, amount, and curing time of the tack coat.The result of the evaporation residue rate test shows that, except for the SSC tack coat, RSC-4 and modified tack coats require similar curing times, even though the modified tack coats have a lower moisture content. Additionally, based on the evaporation residue rate, the tracking and track-lifter test results show that approximately 75% curing is required to prevent the loss of the tack coat during asphaltpavement maintenance. After maintenance work is completed, the shear bond strength was measured to evaluate the curing properties of the tack coat. The results show that the amount applied, curing degree, and shear bond strength are proportional, whereas the modified tack coat indicate a significant difference in the strength increase rate depending on the curing degree. Additionally, when dust is attached to the surface of the tack coat, the difference in strength exceeds 20%, depending on the attachment ratio.To achieve the best adhesion performance by the tack coat during maintenance work, the loss of the tack coat should be prevented by implementing the exact curing time determined experimentally, regardless of whether the tack coat is modified, and the surface where the tack coat is applied should be cleaned before application.
4,000원
7.
2025.02
구독 인증기관 무료, 개인회원 유료
This study aims to reduce the use of chloride-based deicers by analyzing their residual quantities on road surfaces. The freezing conditions of road surfaces were quantitatively defined using needles of consistent weight and diameter, and indoor experiments were conducted to observe changes in surface conditions caused by residual deicers under various temperatures. To validate the equipment, a deicer currently used in Korea was applied to granite plates, and the correlation between the application rates and salinity measurements obtained using the SOBO3+ device was analyzed. Subsequently, the device was employed to measure salinity changes over time by assessing the variations in residual deicer quantities on roads with different traffic volumes and application rates. To identify issues in current reapplication methods, the deicer was reapplied at 2-h intervals, and the resulting changes in salinity were monitored. Results of laboratory experiments revealed that the interval for surface state changes decreases with the temperature despite increased deicer usage, and that similar surface change patterns are presented at higher (-2 °C, -4 °C) and lower temperatures (-6 °C, -10 °C). Across all temperatures, the coefficient of determination for the surface-change graph is approximately 0.90. Equipment verification shows that 10% of sodium chloride is underestimated, whereas aqueous calcium chloride is accurately measured and no correlation is indicated between measurement accuracy and road surface temperature. Field experiments confirmed that the deicer dispersion rates increases with the traffic volume. Furthermore, the final salinity increases after the reapplication of the deicer, except in cases of high traffic volume, and that repeated applications with reduced spray amounts are more effective than single applications with higher spray amounts under low traffic conditions. Based on the findings obtained, a plan to reduce deicer usage is proposed. Future research should incorporate additional variables that affect deicer loss and surface condition changes to further refine the results.
4,300원
8.
2025.02
구독 인증기관 무료, 개인회원 유료
Speed management in Korea currently emphasizes the setting of speed limits and controlling vehicle speeds to align with these standards. However, monitoring safe and stable speeds tailored to specific road sections is essential for enhancing pedestrian safety in urban areas. In this study, a crash frequency model was developed to define the speed stability range and identify the critical threshold at which the crash frequency changes rapidly. This threshold serves as a reference point for assessing the speed stability levels. Individual vehicle trajectory data collected from 20 road segments in Daejeon-si were used to calculate the speed-related safety evaluation indicators that served as input variables for the safety model. The speed stability range calculation incorporates speed-related indicators and road facility data from Daejeon-si, allowing the model to consider the surrounding infrastructure. The findings revealed that intersections and crosswalks are positively correlated with cumulative crash occurrences. Crash frequency predictions showed higher crash likelihoods at average driving speeds below 30 km/h, indicating that congested conditions at intersections or at peak times necessitate increased safety management. Measures for maintaining safe and appropriate vehicle speeds within identified safe ranges are critical. The speed stability range calculation methodology provides a foundation for establishing traffic safety management strategies that focus on speed control in urban areas. These results can guide the development of targeted safety interventions that prioritize pedestrian protection and optimize safe driving speeds across various road segments.
4,000원
9.
2025.02
구독 인증기관 무료, 개인회원 유료
In this study, we analyze the design preferences of parking spaces for shared e-scooters. The detailed purposes are to develop the attributes and attribute levels for the design of shared e-scooter parking spaces, derive profiles by combining the attributes and attribute levels of parking space design, collect preference data on parking-space design from shared e-scooter users, and analyze the preferences for parking space design. The attributes and attribute levels for the design of shared e-scooter parking spaces were developed based on a literature review and an investigation of shared e-scooter parking spaces. Using the full profile method and orthogonal design, the profiles were derived by combining the attribute levels. Preference data for parking space profiles were collected from shared e-scooter users using survey cards to visualize the profiles. Preferences for parking-space design were analyzed using conjoint analysis. Through a literature review and case studies, three attributes: parking angle and direction, parking unit, and parking method, along with their attribute levels were developed. By combining the attributes and their levels, 16 profiles for parking spaces were created. Preference data for these parking-space profiles were collected from 278 shared e-scooter users using a 10-point Likert scale. Using conjoint analysis, the utility and importance of the attributes and attribute levels for parking space design were analyzed. A parking-space design plan that considers the preferences of shared e-scooter users was proposed. The utilities of the attribute levels for shared e-scooter parking space design were derived. Among the attribute levels, the 'compact parking unit' showed the highest utility for the parking unit, whereas 'head-in parking' had the highest utility for the parking method. For parking angle and direction, 'perpendicular parking' had the highest utility, followed by '45°, direction toward the facility’s passageway.' The importance of the attributes for shared e-scooter parking space design was also derived, with 'parking angle and direction' being the most important attribute. Finally, a parking space design plan for shared e-scooters was proposed using visualized survey cards.
4,000원
10.
2025.02
구독 인증기관 무료, 개인회원 유료
In this study, we aim to classify personal mobility (PM)-related traffic crash data into four categories: PM-to-vehicle, PM-to-pedestrian, PM-single, and vehicle-to-PM crashes, and analyze the factors influencing the severity of each crash type. To overcome the limitations of existing studies in explaining the impact of independent variables on ordinal dependent variables, a random forest model was combined with the Shapley additive explanation technique. This approach visualizes the influence of independent variables on a dependent variable, providing clearer insights and enhancing interpretability. The analysis of PM traffic accidents, categorized into at-fault, single-vehicle, and victim accidents, revealed distinct key factors for each type. The main contributors to the severity of crashes caused by PM are traffic violations by teenagers and collisions with elderly pedestrians. Single-vehicle accidents were predominantly caused by overturn incidents, with inadequate driving skills among PM users aged 40 years and older, and significantly increasing severity. Victim accidents primarily occur at intersections, where the behavior of the at-fault driver and age of the PM user are critical factors influencing the severity. We identified various factors influencing the severity of PM crashes by type, highlighting the need for tailored policy measures. Proposed policies include physically separating bicycle–pedestrian shared spaces and strictly regulating illegal PM sidewalk riding, introducing PM licenses for teenagers to ensure compliance with traffic rules, and implementing regular safety education programs for all age groups. Although this study applied a new analytical technique, it relied on limited crash data, thus limiting the results to estimates.
4,200원
11.
2025.02
구독 인증기관 무료, 개인회원 유료
Motorcycles are becoming a major means of transportation in the delivery industry because of their mobility and economic feasibility, and their use is increasing with the spread of non-face-to-face culture. However, owing to the absence of a systematic maintenance and inspection system, illegal modifications, and a lack of safety education, the possibility of accidents is increasing, and social problems are intensifying. To address this issue, we aim to find ways to improve motorcycle safety. Problems were identified by registering motorcycles, driver crashes, and surveys of the current status of laws and systems. Subsequently, a questionnaire was administered to assess the actual conditions and perceptions regarding motorcycles. Finally, to analyze the driving characteristics of delivery motorcycles, traffic safety education was conducted for new delivery riders, and the driving characteristics were analyzed by collecting driving record data. In this study, a plan to enhance the license system, education, insurance, and educational programs is proposed to strengthen motorcycle safety. The licensing system needs to be elevated by age and classified by displacement, and delivery riders can improve their driving skills through mandatory traffic safety education. The insurance sector should introduce a system that discounts insurance premiums upon completion of training. Additionally, it is essential to prepare a systematic education program, including obstacle avoidance and simulation-based learning, by reflecting on the analysis results of road environments and driving data. In this study, insensitivity to safety, insufficient management systems, and lack of education and publicity were identified as causes of motorcycle driver crashes. It was confirmed that most types of dangerous driving were improved through traffic safety education. However, some limitations were observed, such as an increase in the right-hand rotation over time during sudden turns. Future research is needed to enhance laws, systems, and driver safety by analyzing driving characteristics in a broader context based on actual driving records and images.
4,000원
12.
2025.02
구독 인증기관 무료, 개인회원 유료
In this study, we target demand-responsive smart mobility, i.e., a bus-type rural transportation model, that has recently been activated to target public transportation-vulnerable areas in urban-rural integrated cities, and empirically analyze the effects of travel time and service factors on user satisfaction with the transportation mode. An ordered logit model was used for the empirical analysis of a field survey of 449 passengers regarding their usage status and satisfaction with demand-responsive smart mobility in rural areas across the country. As access and travel times increased, bus user satisfaction decreased. Particularly, access time was approximately 1.6 times more important than travel time. Meanwhile, satisfaction with demand-responsive smart mobility was found to increase as drivers were kind and drove safely, vehicles were convenient and ran on time, lines and stops were appropriate, fares were satisfactory, and information on schedules and how to use them was available. Among these service elements, the kindness of the driver was analyzed as the most important variable. This suggests that to activate the use of demand-responsive smart mobility, considering the selection of pick-up and drop-off locations to reduce access time and to make efforts to increase the kindness of drivers is important. The essential flexible schedule of demand-responsive smart mobility, i.e., the use of demand-responsive smart mobility, can be activated only when an operating environment is created that reduces access time and in-vehicle travel time. In other words, it is difficult to revitalize the use of demand-responsive smart mobility if it operates on a fixed route and schedules similar to those of existing buses.
4,000원
13.
2025.02
구독 인증기관 무료, 개인회원 유료
Until all vehicles are equipped with autonomous driving technology, there will inevitably be mixed traffic conditions that consist of autonomous vehicles (AVs) and manual vehicles (MVs). Interactions between AVs and MVs have a negative impact on traffic flow. Cloverleaf interchanges (ICs) have a high potential to cause traffic accidents owing to merging and diverging. Analyzing the driving safety of cloverleaf ICs in mixed traffic flows is an essential element of proactive traffic management to prevent accidents. This study proposes a comprehensive simulation approach that integrates driving simulation (DS) and traffic simulation (TS) to effectively analyze vehicle interactions between AVs and MVs. The purpose of this study is to identify hazardous road spots for a freeway cloverleaf IC by integrating DS and TS in mixed traffic flow. The driving behavior data of MVs collected through a DS were used to implement vehicle maneuvering based on an intelligent driver model in the TS. The driving behavior of the AVs was implemented using the VISSIM parameters of the AVs presented in the CoEXist project. Additionally, the market penetration rate of AVs, ranging from 10% to 90% in 10% increments, was considered in the analysis. Deceleration rate to avoid crashes was adopted as the evaluation indicator, and pinpointing hazardous spot technique was used to derive hazardous road spots for the cloverleaf IC. The most hazardous road spot was identified in the deceleration lane where greater speed changes were observed. Hazardous road spots moved downstream within the deceleration lane as traffic volumes increased based on level of service. The number of AVs decelerating stably increased as traffic increased, thereby improving the safety of the deceleration lane. These results can be used to determine the critical point of warning information provision for preventing accidents when introducing AVs.
4,300원
14.
2025.02
구독 인증기관 무료, 개인회원 유료
Various road traffic signs are placed on the shoulder to inform drivers of the work situation ahead, speed limits, and lane changes in highway work zones. In this study, we analyze the effectiveness of a portable lane-change assistance system (PLCS) that can replace existing traffic signs from the perspectives of driver visibility and lane-change behavior. The existing highway work zone traffic management guidelines were regarded as a scenario without PLCS, and the case of replacing the existing traffic signs proposed by the manual with PLCS was set as a scenario with PLCS. For each analysis scenario, we analyzed the change in subjective awareness of traffic signs, perception accuracy of PLCS, advance lane-change rate, and lane-change location. The subjective perception analysis showed that the subjective perception change rate increased by 13.85% for two-lane highways and 5.29% for three-lane highways when PLCS was applied compared to that without PLCS. Regarding PLCS perception accuracy, all drivers correctly recognized the lane closure information for the two-lane case. Two PLCS are used in the three-lane case to provide lane-closure information. Regarding the first PLCS, all drivers correctly recognized lane closure information for the first lane sign, and 31 drivers correctly recognized lane closure information for the second and third lane signs. Regarding the second PLCS, all drivers correctly recognized lane closure information for the first and third lane signs, and 30 drivers correctly recognized lane closure information for the second lane sign in the second PLCS. Analysis of lane-change behavior showed that the proportion of advance lane changes increased by 31.25% in the two-lane case and 59.38% in the three-lane case with PLCS compared to that without PLCS. Additionally, lane-change locations where drivers performed lane changes from the starting point of the work zone area were analyzed. Drivers changed lanes at 653.68 m without PLCS and at 919.66 m with PLCS resulting in a 265.98 m increase in lane change location for the two-lane case. The drivers changed lanes twice in the three-lane scenario. Drivers changed lanes at 1014.41 m and 743.64 m without PLCS and at 1137.05 m and 868.24 m with PLCS, resulting in a 122.64 m and 124.60 m increase in the lane change location for the three-lane case. The proposed PLCS demonstrated a greater recognition capability than existing traffic signs and was effectively encouraged. This can be useful for replacing existing traffic signs in highway work zones.
4,200원
15.
2025.02
구독 인증기관 무료, 개인회원 유료
In this study, we propose an adaptive traffic control method that utilizes predictions of near-future traffic arrivals at a signalized intersection based on real-time data collected at an upstream intersection to design acyclic traffic signal timing accordingly. The proposed adaptive control method utilizes a deep learning model developed in this study to predict future traffic arrivals at downstream intersections 24 s ahead based on upstream intersection data at 4 s decision intervals. Using the predicted arrival traffic volume, signal timings were designed to minimize delays. A rolling-horizon approach was employed to correct the prediction errors during this process. The performance of the proposed traffic signal control method was validated by comparing it with the traditional time-of-day (TOD) traffic signal operation method over a 24 h period. The results of comparative validation tests conducted through simulations in a virtual environment indicate that the proposed adaptive traffic control system operates efficiently to minimize average control delays. During the morning peak period, a reduction time of 43.19 s per vehicle (57.02%) was observed, whereas the afternoon peak period exhibited a reduction of 37.91 s per vehicle (48.35%). Additionally, data analysis revealed that the optimal phase length suggested by the pre-timed method, which assumes uniform vehicle arrivals, is statistically identical at a 95% confidence level to the average phase length of the adaptive traffic control system, which assumes random vehicle arrivals. This study confirms the necessity of adopting proactive real-time signal control systems that utilize a new traffic information collection method to respond to dynamic traffic conditions and move away from conventional TOD signal operation, which primarily focuses on peak commuting hours. Additionally, it confirms the need for a fundamental shift in the underlying philosophy traditionally used in traffic signal design
4,300원
16.
2025.02
구독 인증기관 무료, 개인회원 유료
This study aims to to provide a systematic and sustainable strategic direction for road transportation ODA projects in Mozambique to help solve economic bottlenecks and contribute to national and regional economic growth at a time when the country is recovering from the economic shock and cessation of international aid caused by the past "Tuna Bond Scandal" and showing strong commitment to improving the road transportation sector led by the government. Through this, we aim to enhance the effectiveness of Korea's ODA projects and contribute to building a mutually beneficial cooperation model between Mozambique and Korea. Key indicators were established based on literature reviews, and an AHP survey was conducted targeting local road transport officials. The results were utilized to calculate the weights for each indicator and derive the project priorities. The study identified "sustainability" as the most critical factor among the social necessity indicators, highlighting the importance of long-term stability in road transport infrastructure. In the economic necessity category, "cost-effectiveness" emerged as a key priority, emphasizing resource optimization for maximum impact. Within policy necessity, alignment with government development goals was deemed essential for project success. Prioritization of road transport ODA projects based on sustainability, cost-effectiveness, and alignment with government policies is concluded to significantly enhance their impact. By addressing the immediate and long-term needs of Mozambique's transport infrastructure, the proposed strategy ensures resource efficiency and socioeconomic benefits. This approach not only improves the effectiveness of ODA initiatives but also fosters stronger partnerships between donor and recipient countries. Ultimately, the findings contribute to the development of systematic and sustainable ODA strategies for Mozambique.
4,200원
