간행물
한국도로학회논문집 KCI 등재 International journal of highway engineering
- 발행기관 한국도로학회
- 자료유형 학술지
- 간기 격월간
- ISSN 1738-7159 (Print)2287-3678 (Online)
- 수록기간 1999 ~ 2024
- 주제분류 공학 > 토목공학 공학 분류의 다른 간행물
- 십진분류KDC 534DDC 625
권호리스트/논문검색
제26권 제6호 통권128호 (2024년 12월) 32건
21.
2024.12
구독 인증기관 무료, 개인회원 유료
The purpose of this study was to develop a more accurate model for predicting the in-situ compressive strength of concrete pavements using Internet-of-Things (IoT)-based sensors and deep-learning techniques. This study aimed to overcome the limitations of traditional methods by accounting for various environmental conditions. Comprehensive environmental and hydration data were collected using IoT sensors to capture variables such as temperature, humidity, wind speed, and curing time. Data preprocessing included the removal of outliers and selection of relevant variables. Various modeling techniques, including regression analysis, classification and regression tree (CART), and artificial neural network (ANN), were applied to predict the heat of hydration and early compressive strength of concrete. The models were evaluated using metrics such as mean absolute error (MAE) to determine their effectiveness. The ANN model demonstrated superior performance, achieving a high prediction accuracy for early-age concrete strength, with an MAE of 0.297 and a predictive accuracy of 99.8%. For heat-of-hydration temperature prediction, the ANN model also outperformed the regression and CART models, exhibiting a lower MAE of 1.395. The analysis highlighted the significant impacts of temperature and curing time on the hydration process and strength development. This study confirmed that AI-based models, particularly ANNs, are highly effective in predicting early-age concrete strength and hydration temperature under varying environmental conditions. The ability of an ANN model to handle non-linear relationships and complex interactions among variables makes it a promising tool for real-time quality control in construction. Future research should explore the integration of additional factors and long-term strength predictions to further enhance the model accuracy.
4,000원
22.
2024.12
구독 인증기관 무료, 개인회원 유료
The purpose of this study was to incorporate Pakistan's climatic conditions into the road design process by performing a cluster analysis using collected climate data. Monthly time-series data for six climate variables—altitude, sea level, maximum temperature, minimum temperature, vapor pressure, and precipitation—were used to cluster 24 locations. Missing values were imputed using the Kalman filter, and hierarchical and k-medoid clustering analyses were performed based on the dynamic time warping (DTW) distance. By evaluating two to five clusters using six validity indices, the optimal number of clusters was determined to be two. the optimal two-cluster classification results were confirmed to be consistent between the two methods. When the clustering results were visualized on a map of Pakistan alongside the data, the clusters were divided into areas with relatively high and low altitudes. By classifying the regions of Pakistan into two clusters using time-series data of climate variables, this study highlights the distinct characteristics of each cluster. These findings suggest that management strategies tailored to the characteristics of each cluster can be applied to various fields.
4,000원
23.
2024.12
구독 인증기관 무료, 개인회원 유료
Tunnel fires have significant social and economic impacts, causing extensive damage to concrete and steel reinforcements at high temperatures. Despite international advancements in fire-resistant designs, the safety measures for tunnel fires in South Korea remain insufficient. This study aimed to evaluate the fire resistance of fiber-reinforced concrete incorporating fire-resistant fibers with a focus on preventing spalling and enhancing structural safety. These findings are expected to contribute to the development of fire-resistant tunnel-design standards. Concrete mixtures with compressive strengths of 27 MPa were prepared according to highway construction material standards. Fiberreinforced concrete samples were produced with fire-resistant fiber dosages of 0.0, 0.6, 0.8, and 1.0 kg per cubic meter. Fresh concrete tests, including air content (KS F 2421) and slump (KS F 2402) tests, were conducted along with compressive strength tests (KS F 2405) on the hardened concrete. The fire resistance was assessed using an electric furnace to simulate the fire curve conditions specified in the Road Tunnel Fire Safety Guidelines based on KS F 2257. Increasing the fiber content led to a slight reduction in slump, likely owing to fiber agglomeration, with minimal effect on workability within the tested range. The air content exhibited negligible variation, indicating that there was no major impact on the air-void system. The compressive strength before the fire resistance test fluctuated but consistently met the design target of 27 MPa. The compressive strength after the fire resistance test across all samples decreased to approximately 2.0 MPa. The fiber-reinforced concrete exhibited reduced internal temperatures compared to the control, which was attributed to heat transfer disruption and the formation of micropores by the fibers. In this study, fiber-reinforced concrete demonstrated improved thermal resistance under fire conditions with minimal impact on the workability and air content within the tested range. Although the compressive strength before the fire resistance test remained adequate, the sharp decline in the post-fire strength highlights the need for further optimization. These findings emphasize the potential of fiber-reinforced concrete as a cost-effective solution for enhancing tunnel fire resistance, thereby supporting the development of safer and more resilient infrastructures.
4,000원
24.
2024.12
구독 인증기관 무료, 개인회원 유료
This study investigated the tracking loss rate and shear bond strength under various conditions to evaluate the properties of a trackless tack coat used in asphalt pavement maintenance and conducted a field investigation in which the trackless tack coat was used. Typically, the loss rate and bond strength of a tack coat depend on various conditions. Therefore, to evaluate the loss rate of the tack coat, a wheel-tracking attachment loss rate and tack lifter test were conducted by simulating high-temperature exposure conditions, and the shear bond strength was measured according to the surface condition of the bottom layer. In addition, field investigations of cracks, rutting, and potholes were conducted at 11 sites five years after the application of the trackless tack coat. The results of the wheel-tracking loss rate evaluation showed that the loss rate differed depending on the conditions of the bottom layer, and the loss rate of the trackless tack coat was very low at the same temperature as that of the rapid strength concrete (RSC). In addition, in the results of tack lifter test at 65℃, which had the highest loss rate by wheel tracking loss rate test, it was found that loss rate of trackless tack coat was 0%–29% lower than that of RSC for the same exposure time. As a result of evaluating the effect of the bottom layer's condition on the shear bond strength, it was found that the trackless tack coat was about 20% higher than RSC under the same conditions. In addition, when foreign substances such as dust were present in the bottom layer, the shear bond strength was reduced by approximately 28%. Field investigations of the trackless-applied section showed that potholes and rutting did not occur, and alligator cracks and linear cracks occurred in some sections; however, it was judged that there was little direct relationship with the trackless tack coat. The trackless tack coat was found to have a slight loss owing to tracking, even at relatively high temperatures, and the shear bond strength was excellent. In addition, if the construction process is properly conducted, an advantage will be attained in securing the performance life of asphalt pavements.
4,000원
25.
2024.12
구독 인증기관 무료, 개인회원 유료
This study aims to calculate the passenger car equivalent (PCE) of heavy vehicles on one-lane exit sections of underground roads. Traffic-flow simulations were performed using the VISSIM software program. The scenarios were designed under varying conditions, including design speeds of 40 and 50 km/h, slope gradients ranging from 3% to 9%, and heavy vehicle proportions between 5% and 40%. The mixed-traffic flow capacity was calculated for each scenario at the threshold levels, and the PCE was estimated based on the two capacity conditions. The results revealed that the PCE decreased at lower design speeds. For slopes less than 6% at a design speed of 40 km/h, and for slopes less than 4% at 50 km/h, the PCE remained consistent across all conditions. Single-lane exit sections are often employed on underground roads because of congestion and structural constraints. However, when heavy vehicles are present in these sections, the overall traffic flow is dictated by the speeds of the heavy vehicles. To address this issue, the implementation of variable or temporary two-lane exit sections has been proposed to enhance traffic flow and capacity.
4,000원
26.
2024.12
구독 인증기관 무료, 개인회원 유료
This study aimed to analyze the impact of implementing a voluntary driver's license return program on reducing traffic crashes for older drivers who were previously involved in traffic accidents. The traffic crashes caused by elderly drivers were categorized by crash type. We used the Chi-square test to compare municipalities that implemented the program in 2019 and 2020 with those that did not and explored variations in crash types based on the residential areas and age groups of elderly drivers. The voluntary driver's license return program reduced considerably the number of single-vehicle crashes involving elderly drivers. Moreover, while all crash types decreased in rural areas, only pedestrian–vehicle, and single-vehicle crashes were reduced considerably in urban areas. In terms of age groups, drivers aged >75 years were associated with reduced numbers of crashes (all types). Similarly, the 70–74 age group demonstrated considerable reductions in pedestrian–vehicle and single–vehicle crashes, emphasizing the importance of encouraging and supporting license returns among these age groups. First, because the characteristics of each crash type vary, it is important to analyze the impact of voluntary driver’s license returns on crash reduction, with a focus on specific crash types. Second, voluntary license returns should be promoted in all regions. However, in rural areas with limited access to public transportation, mobility must be supported by the introduction of DRT. Third, given that drivers aged >75 years were associated with reduced numbers of crashes (for all types of crashes), priority policies should be implemented to encourage license returns within this age group, along with tailored incentives. However, as the voluntary license return program is intended to support selfinitiated cessation of driving without compulsion, strategies should also be explored to promote voluntary returns without age restrictions. Fourth, a standardized evaluation system should be established to enable older drivers to assess their driving abilities and physical conditions, further encouraging voluntary license returns.
4,200원
27.
2024.12
구독 인증기관 무료, 개인회원 유료
This study proposes a method to evaluate the publicity of real-time, demand-responsive, autonomous public-transportation systems. By analyzing real-time data collected based on publicity evaluation indicators suggested in previous research studies, this study seeks to establish a system that objectively assesses the publicity of public transportation. Thus, the introduction of autonomous public transportation systems is expected to contribute to solving problems in underserved transportation areas and enable more sophisticated public transportation operations. We reviewed evaluation indicators proposed in previous studies. Based on this review, publicity evaluation indicators were derived and specific criteria were selected to assess systematically the publicity of autonomous public transportation. An AHP analysis was conducted to assess the relative importance of each indicator by analyzing the importance of the selected indicators. Additionally, to score the indicators, minimum and maximum target values were established, and a method for assigning scores to each indicator was examined. The most important factor in the publicity evaluation of autonomous demand-responsive transport (DRT) was the “success rate of allocation to weak public transportation service areas,” with a significance level p of 0.204. This was analyzed as a key evaluation criterion because of the importance of service provision in areas with low-public-transportation accessibility. Subsequently, “Accessing distance to a virtual station” (p = 0.145) was evaluated as an important factor representing the convenience of the service. “Waiting time after allocation” (p = 0.134) also appeared as an important evaluation factor, as reducing waiting time considerably affected service quality. Conversely, “compliance rate of velocity” yielded the lowest significance (p = 0.017), as speed compliance was typically guaranteed owing to autonomous driving technology. This study proposed a specific evaluation method based on publicity indicators to provide a strategic direction for improving services and enhancing the publicity of autonomous DRT systems. These results can serve as a foundational resource for improving transportation services in underserved areas and for enhancing the overall quality of public transportation services. However, the study’s limitation was its inability to use real-time autonomous public transportation data, relying instead on I-MoD data from Incheon. This limitation constrained the ability to establish universal benchmarks because data from various municipalities were not included. Future research should collect and analyze data from diverse regions to establish more reliable evaluation indicators.
4,000원
28.
2024.12
구독 인증기관 무료, 개인회원 유료
As the use of shared kickboards rapidly increases, personal mobility (PM)-related accidents are frequently occurring. These accidents are mainly caused by careless behavior, which is typically indicated by neglecting to wear a helmet, speeding, signal violation, or illegal driving owing to incorrect driving methods. This type of user behavior increases the risk of accidents; for this reason, there is an urgent need to prepare effective measures for the safe use of shared kickboards. To reduce PM accidents, this study proposes a charging model that promotes the safe behavior of shared kickboard users. The core aim of this model is to persuade users to comply voluntarily with safety rules through incentives and penalties. Specifically, by providing a discount rate when wearing a helmet, the user is encouraged to wear a helmet, whereas in the event of an accident, a penalty is imposed to emphasize the disadvantages that occur when the safety rules are violated. This incentive structure is expected to contribute to the development of safer driving habits among shared-kickboard users. To verify the effectiveness of this charging model, simulations and user surveys were conducted in parallel. It was found that the user’s safety behavior improved, and the incidence of accidents decreased considerably. This confirmed that the proposed charging model not only reduced accidents but also naturally formed a safe driving culture for users. The shared key proposed in this study can benefit the operating company, and policymakers can contribute in the future by sharing key issues that are expected to play an important role in presentation and punishment, and provide a new paradigm for sharing key paradigms.
4,200원
29.
2024.12
구독 인증기관 무료, 개인회원 유료
The purpose of this study was to identify and evaluate hazardous road sections based on roadside friction. Using GIS mapping and clustering techniques, this study analyzed traffic accidents and roadside friction data based on latitude and longitude coordinates. The density-based spatial clustering of applications with noise (DBSCAN) algorithm was applied, with parameters of MinPts = 5 and eps = 0.0001, determined through a K-nearest neighbor analysis. The data were separated based on traffic flow direction (uphill/ downhill), and clustering was performed separately in each direction to identify specific hazard zones. The DBSCAN clustering results revealed 18 clusters in traffic accident data and 44 clusters in roadside friction data. Traffic accident clusters include various types of accidents (e.g., vehicle-to-vehicle and vehicle-to-pedestrian accidents), identifying locations as high-accident zones. The clustering results from the roadside friction data highlighted areas with crosswalks, absence of curbs, and roadside parking zones as major risk sections. Future research should analyze the operational design domain (ODD) of autonomous vehicles on hazardous road sections and explore the integration of multiple data sources to establish a comprehensive safety management system for accident prevention in autonomous driving environments. Additionally, road hazard sections are categorized into stages (e.g., hazardous, cautious, and safe) to enhance the precision in assessing road conditions. This categorization, combined with a detailed analysis of ODD, serves as a foundation for future research aimed at improving the safety of autonomous driving environments.
4,000원
30.
2024.12
구독 인증기관 무료, 개인회원 유료
This study points out the traffic safety inhibition problem in which the yellow time length at a signal intersection can be set differently depending on the tram, and proposes a way to overcome it. This study proposes a twofold approach for trams to coordinate with the yellow signal phase designated for general vehicles, utilizing a schedule-speed-based operating speed adjustment and departure time control at stations. To validate the proposed method, simulations were conducted for a planned tram corridor in the Wirye District, Seoul. The simulation environment was developed using the simulation of the urban mobility model. The operational characteristics of tram services in the main and branch-line sections were analyzed. In the upstream section of the mainline, the operating speed was 22.04 km/h, with a total dwell time of 400 s across 10 stations, resulting in zero intersection stops. Regarding the downstream section, the operating speed was 17.71 km/h, and one intersection stop was observed. In contrast, for the upstream section of the branch line, the operating speed was 14.73 km/h and there were two intersection stops, while the downstream section yielded an operating speed of 18.12 km/h, and also comprised two intersection stops. This study examined a novel operational strategy for trams near intersections along tram corridors without directly modifying the signal system. This strategy effectively utilizes tram stop dwell time and traffic signal information. It focuses on adjusting tram speeds to ensure smooth and safe passage through signalized intersections and optimizing operations so that trams approach and cross intersections at a consistent speed. Designed as a universal model, this strategy is adaptable to various regions and environments, rather than being limited to a specific area. It is expected to support tram operation planning by considering diverse factors, such as urban structure, traffic density, and intersection characteristics. Moreover, it provides valuable guidance to ensure the punctuality and stability of tram operations in a range of urban and traffic contexts.
4,000원
31.
2024.12
구독 인증기관 무료, 개인회원 유료
This study aimed to develop a comprehensive validation methodology for an Infra-guidance system, which is an infrastructure-based service aimed at enhancing the safety of autonomous driving. The proposed method includes quantitative techniques for validating both the Infra-guidance algorithm module and the guidance message module using each optimal indicator. In addition, a promising method is suggested to validate the entire system by applying a multicriteria decision methodology. The relative weight for the algorithm module was higher than relative weight for the message module. Moreover, the relative weight of the latency for the message module was slightly higher than weight of the packet error rate. The proposed methodology is applicable for validating the performance of infrastructure-based services for enhancing connected autonomous driving based on the comprehensive quantification of various factors and indicators.
4,000원
32.
2024.12
구독 인증기관 무료, 개인회원 유료
This study aimed to investigate the factors affecting the severity of taxi traffic accidents at intersections in Busan and propose measures to improve traffic safety. This study collected data on taxi traffic accidents that occurred at intersections in the Metropolitan City of Busan during the past 3 years (2020–2022) from Traffic Accident Analysis System(TAAS) and road views, and analyzed factors affecting their severity by employing an ordered probit model. The severity of taxi traffic accidents worsened with violations of (among others) traffic signals and pedestrian protection during January, April, and September. In addition, when a major street was operated with a permissive left turn, the severity of taxi traffic accidents worsened. Measures to improve traffic safety suggested in this study included safety education that focused on particular violations for taxi drivers, mandatory education for transport employees in an experiential format, support of video storage devices for driving records, policy establishment for the promotion and certification of good and bad driving videos, time adjustment of joint safety management inspection, and left-turn signal operation with an unprotected system and P-turn guidance.
4,000원
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