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
1.
2024.12
구독 인증기관 무료, 개인회원 유료
This paper explores a convergent approach that combines advanced informatics and computational science to develop road-paving materials. It also analyzes research trends that apply artificial-intelligence technologies to propose research directions for developing new materials and optimizing them for road pavements. This paper reviews various research trends in material design and development, including studies on materials and substances, quantitative structure–activity/property relationship (QSAR/QSPR) research, molecular data, and descriptors, and their applications in the fields of biomedicine, composite materials, and road-construction materials. Data representation is crucial for applying deep learning to construction-material data. Moreover, selecting significant variables for training is important, and the importance of these variables can be evaluated using Pearson’s correlation coefficients or ensemble techniques. In selecting training data and applying appropriate prediction models, the author intends to conduct future research on property prediction and apply string-based representations and generative adversarial networks (GANs). The convergence of artificial intelligence and computational science has enabled transformative changes in the field of material development, contributing significantly to enhancing the performance of road-paving materials. The future impacts of discovering new materials and optimizing research outcomes are highly anticipated.
4,200원
2.
2024.12
구독 인증기관 무료, 개인회원 유료
This study determined the minimum size of a representative molecular structure for use in future dynamic analyses of asphalt binders. The minimum representative size, considering factors such as aging, additive types, and temperature variations, was established using density and radial distribution functions. This approach ensures that the structure reflects temperature-dependent property changes, which are critical characteristics of asphalt binders. In this study, the structure of asphalt-binder molecules was generated using the composition proposed by Li and Greenfield (2014) for AAA1. To assess the appropriateness of the molecular structure size, we generated additional structures, X2 and X3, maintaining the same composition as X1, but with two and three times the number of molecules, respectively, as suggested by Li and Greenfield (2014). Silica and lignin were considered as additives, and the aging conditions examined included unaged, short-term aging, and long-term aging. In addition, 11 temperature conditions were investigated. The density and radial distribution functions were plotted and analyzed. The variables influencing the density and radial distribution functions were set as the aging degree of the asphalt binder (unaged, short-term aging, long-term aging), 11 temperature conditions ranging from 233 to 433 K in 20 K intervals, structure size (X1, X2, and X3), and the presence of additives (no additives, silica, and lignin). For density, clear differences were observed based on the degree of aging, temperature conditions, and presence of additives, whereas the structure size did not significantly affect the density. In terms of radial distribution functions, the X1 structure reflected differences based on the degree of aging and the presence of additives but was limited in exhibiting temperature-dependent variations. In contrast, the X3 structure effectively captured temperature-dependent trends, indicating that the size of the molecular structure is crucial when evaluating energy calculations or physical tensile strength, necessitating careful assessment.
4,000원
3.
2024.12
구독 인증기관 무료, 개인회원 유료
The purpose of this study was to enhance the correlation between the dependent and independent variables in a prediction model of pavement performance for local roads on Jeju Island by applying K-means clustering for data preprocessing, thereby improving the accuracy of the prediction model. Pavement management system (PMS) data from Jeju Island were utilized. K-means clustering was applied, with the optimal K value determined using the elbow method and silhouette score. The Haversine formula was used to calculate the distances between the analysis sections and weather stations, and Delaunay triangulation and inverse distance weighting (IDW) were employed to interpolate the magnitude of the influencing factors. The preprocessed data were then analyzed for correlations between the rutting depth (RD) and influencing factors, and a prediction model was developed through multiple linear regression analysis. The RD prediction model demonstrated the highest performance with an R² of 0.32 and root-mean-square error (RMSE) of 1.48. This indicates that preprocessing based on the RD is more effective for developing an RD prediction model. The study also observed that the lack of pavement-age data in the analysis was a limiting factor for the prediction accuracy. The application of K-means clustering for data preprocessing effectively improved the correlation between the dependent and independent variables, particularly in the RD prediction model. Future research is expected to further enhance the prediction accuracy by including pavement-age data.
4,000원
4.
2024.12
구독 인증기관 무료, 개인회원 유료
This study measured the displacement that occurs when applying expansion joints between the jointed concrete pavement (JCP) and continuously reinforced concrete pavement (CRCP) on domestic expressway and obtained the basic data necessary for the rational design of expansion joints. Displacement gauges were installed at the ends of the CRCP expansion joints, and the longitudinal displacements were measured for five years to derive daily and seasonal displacements, which were compared with the results obtained at the JCP and anchor lug ends. The expansion joints of the CRCP terminal ends were observed to have initially expanded by 5.8 and 5.9 mm. The daily displacements were 0.024 and 0.034 mm/℃ on average, and the seasonal displacements decreased rapidly with an increase in distance from the CRCP ends. In addition, the displacements at locations 50–150 m away exhibited behaviors that were inversely proportional to the temperature, suggesting that they were more affected by the surrounding cracks. The seasonal displacement measured at the end of the CRCP expansion joint was 0.0292–0.0701 mm/℃. The displacement occurring at the end of the domestic CRCP expansion joint was estimated to consist of short-term expansion and seasonal displacements and was lower than when the asphalt separation layer was used. This was because the surface behavior was strongly suppressed below the lean concrete layer. Therefore, continuous observation is necessary, as different trends may be observed according to the increase in CRCP thickness.
4,000원
5.
2024.12
구독 인증기관 무료, 개인회원 유료
This study aimed to assess the current global efforts to reduce greenhouse gas emissions and understand the domestic scenario, particularly focusing on pavement-marking works during road-construction projects. Using internationally commercialized programs, this study aimed to calculate carbon emissions from these projects, identify areas that require further action or improvement, and propose strategies to address them. This study assessed the current global efforts to reduce greenhouse gas emissions and understand the domestic scenario, particularly focusing on pavement-marking works during road-construction projects. Using internationally commercialized programs, this study aimed to calculate carbon emissions from these projects, identify areas that require further action or improvement, and propose strategies to address them. Carbon dioxide emissions from pavement-marking projects were estimated. For a 5,746 m2 construction project, a total of 96.637 was emitted; for a 5,032 m2 project with four types of markings, 89.840 was emitted. A project involving five types of markings, traffic controls, and safety measures resulted in 6.662 emissions. On average, 16.8 was emitted per 1 m2, with 17.8 for the four types and 9.3 for the five types of markings. This study is significant because it calculated the carbon dioxide emissions from domestic pavement-marking works. The use of unit price data is convenient, and for more accurate calculations, expanding environmental product declaration (EPD) certified items and accelerating the establishment of a domestic life-cycle inventory (LCI) are recommended.
4,200원
6.
2024.12
구독 인증기관 무료, 개인회원 유료
This study aimed to evaluate the performance criteria of low-noise asphalt pavements under laboratory conditions. Laboratory tests were performed on eight porous and three non-porous asphalt mixtures. Draindown, Cantabro, tensile strength ratio (TSR), and dynamic stability tests were conducted to evaluate durability. The functionality was assessed using sound-absorption and indoorpermeability- coefficient tests. The laboratory results showed that all mixtures satisfied the quality standards for the draindown and TSR tests. In the dynamic stability test, all the mixtures demonstrated adequate rutting resistance. For porous mixtures, the Cantabro test results indicated sufficient shatter resistance and the indoor-permeability-coefficient test confirmed proper drainage performance. All mixtures exhibited satisfactory sound absorption, with the porous mixtures exhibiting slightly better sound absorption than the non-porous mixtures. Both porous and non-porous mixtures are durable and functional and are used in Korea. Future field tests are required to evaluate the noise reduction performance under different conditions and to compare the in-situ performance results with those from laboratory tests.
4,000원
7.
2024.12
구독 인증기관 무료, 개인회원 유료
This study aimed to improve the accuracy of road pavement design by comparing and analyzing various statistical and machine-learning techniques for predicting asphalt layer thickness, focusing on regional roads in Pakistan. The explanatory variables selected for this study included the annual average daily traffic (AADT), subbase thickness, and subgrade California bearing ratio (CBR) values from six cities in Pakistan. The statistical prediction models used were multiple linear regression (MLR), support vector regression (SVR), random forest, and XGBoost. The performance of each model was evaluated using the mean absolute percentage error (MAPE) and root-mean-square error (RMSE). The analysis results indicated that the AADT was the most influential variable affecting the asphalt layer thickness. Among the models, the MLR demonstrated the best predictive performance. While XGBoost had a relatively strong performance among the machine-learning techniques, the traditional statistical model, MLR, still outperformed it in certain regions. This study emphasized the need for customized pavement designs that reflect the traffic and environmental conditions specific to regional roads in Pakistan. This finding suggests that future research should incorporate additional variables and data for a more in-depth analysis.
4,000원
8.
2024.12
구독 인증기관 무료, 개인회원 유료
The purpose of this study was to optimize the design of asphalt concrete pavements for Jeju Island by considering the regional characteristics of the island. This study employed an MEPDG program to determine the allowable traffic loads for class 4 vehicles by considering the axle loads, climate, and material properties. Samples of basalt asphalt concrete from Jeju were used to measure the dynamic modulus for material property estimation. The climate input was based on 30-year climate data from Jeju. The thicknesses and moduli of the subgrade, subbase, and asphalt layers were incorporated into the design. The regression-analysis program SPSS was used to develop a regression equation for the overlay design, factoring in the modulus and thickness ratios between the existing and overlay asphalt layers. A pavement-thickness design formula tailored to Jeju's characteristics was derived. An equivalent single-axle load factor (ESALF) formula was developed to facilitate traffic-load estimation for different roads, enabling the easy incorporation of varying traffic volumes into the design. The ESALF formula demonstrated a high correlation with the pavement thickness, subgrade conditions, and axle loads, whereas the pavementthickness design formula exhibited strong correlations with the pavement thickness, subgrade state, thickness ratios, and modulus ratios. The use of basalt aggregates in asphalt concrete pavements provides an economically viable and technically sound solution for Jeju. The proposed design methodology not only reduces costs but also enhances pavement performance and road safety. The developed formulas offer flexibility in adjusting designs based on specific traffic conditions, providing optimal pavement solutions for different road categories.
4,300원
9.
2024.12
구독 인증기관 무료, 개인회원 유료
This project aimed to understand the near-infrared (NIR), intensity, and reflectivity characteristics of LiDAR for measuring retroreflectivity and to understand the correlation between the characteristics of LiDAR and retroreflectivity. A 600 m-testbed was investigated using a survey vehicle equipped with LiDAR, and the testbed retroreflectivity and LiDAR data measurement values were compared. The reflectivity and intensity at night were not affected by sunlight compared with daytime, enabling stable data collection. However, NIR reacted very sensitively to sunlight, and the difference between daytime and nighttime NIR values was very large. In addition, by comparing the absolute error between the retroreflectivity and LiDAR data, we observed that the reflectivity was consistent with the data difference between day and night, and it was not significantly affected by sunlight. However, the intensity showed that the daytime measurement data were more scattered than the nighttime measurement data, resulting in low-precision collection stability caused by sunlight. An analysis of the correlation between retroreflectivity and LiDAR data using 40 data points revealed that the reflectivity and intensity data at night were highly correlated with retroreflectivity, with a P-value of less than 0.05. Reflectivity and intensity values at night correlate with retroreflectivity. The NIR light is sensitive to sunlight. Thus, it can be used as a solar correction index for future retroreflectivity analyses using intensity.
4,000원
10.
2024.12
구독 인증기관 무료, 개인회원 유료
This study aimed to statistically analyze and understand the factors contributing to road icing accidents on Korean roads, particularly within sections designated as ice-prone. The objective was to assess the adequacy of the existing criteria for designating these sections and to provide insights for improving safety measures on icy roads. Road icing accident data were collected from Korea’s (traffic accident analysis system (TAAS) database, covering incidents from 2018 to 2022 on both expressways and general roads. The data were compiled to create a comprehensive database that incorporated geographic and weather-related factors influencing road icing accidents. Using geographic information systems (GIS), a spatial analysis was performed on the designated ice-prone and non-designated sections. The inverse distance weighting (IDW) method was applied to interpolate the meteorological data, and the temperature lapse rate was used to adjust for altitude-related variations in temperature, providing estimates for conditions such as the average temperature, relative humidity, and precipitation days at each accident location. The analysis revealed that only 2.9% of designated ice-prone sections reported icing-related accidents, whereas 97.6% of icing accidents occurred in non-designated sections. This discrepancy highlights potential gaps in the current criteria for designating ice-prone areas. Additionally, road characteristics such as traffic volume, lane count, speed limit, and curve radius, along with meteorological factors such as humidity, precipitation frequency, and solar radiation exposure, were observed to be significantly correlated with icing accidents. Regions with high relative humidity and low sunlight exposure exhibited a heightened risk of road icing accidents, suggesting the need for these parameters to designate ice-prone sections. This study underscores the need to refine Korea's criteria for designating ice-prone sections by incorporating a wider range of risk factors, including detailed terrain data, shaded areas, and road geometry factors, such as slopes. Integrating these additional elements into the designation process could enhance the precision and effectiveness of preventive measures and ultimately reduce the risk of icing-related accidents in Korea’s road networks. These findings provide a foundation for future policy and management decisions to enhance road safety during the winter.
4,200원
11.
2024.12
구독 인증기관 무료, 개인회원 유료
In this study, the strength properties of recycled plastic materials using polypropylene, polyethylene, and high-density polyethylene were evaluated by measuring their compressive and flexural strengths, which are typically measured in cement-concrete pavements, to assess the feasibility of using recycled plastic materials as construction materials for modular pavements that can easily integrate advanced sensors, such as those for future autonomous driving. Two types of recycled plastic (composite resin and high-density polyethylene (HDPE)) and two types of inorganic materials (fly ash and limestone filler) were selected to evaluate the strengths of recycled plastic materials. Specimens for the compressive and flexural strength tests were prepared with four different recycled plastic contents (100%, 80%, 60%, and 40%). The compressive and flexural strengths of the recycled plastic specimens were measured according to the KSL ISO 679 and KSL 5105 methods, and the strength properties were analyzed based on the type and content of the recycled plastic and type of inorganic material used. Distortion and shrinkage problems were observed during specimen preparation using the 100% recycled plastic material. This indicated that inorganic materials must be incorporated to improve the flexural strength and facilitate specimen preparation. The compressive strength of plastic materials was comparable to the 28-day compressive strength of conventional cement-concrete pavements. The compressive strength of the composite resin was approximately twice that of HDPE. The flexural strengths of both the composite and HDPE were in the range of 15–25 MPa, suggesting their suitability as materials for the construction of modular pavement structures. Based on the limited strength test results, we can conclude that the strength properties of recycled plastic materials are similar to those of conventional cement-concrete paving materials. From the strength perspective, we confirmed that recycled plastic materials can be utilized as construction materials for modular pavements. However, further research should be conducted on factors such as molding methods for modular pavement structures based on different types of recycled plastic materials.
4,000원
12.
2024.12
구독 인증기관 무료, 개인회원 유료
This study aimed to assess the global and domestic efforts regarding the reduction of environmental-impact-factor emissions in the production and construction processes of concrete pavements. By utilizing internationally commercialized programs, this study sought to calculate the environmental impact factors generated by specific domestic concrete-pavement projects and identify areas for improvement. This study evaluated the global and domestic efforts of environmental impact reduction by focusing on the production and construction of concrete pavements. This study calculated the environmental impact factors for five cases using internationally commercialized software. The analysis revealed that, during the production and construction of concrete pavements, Portland cement production is a dominant cause of global warming, smog, acidification, and non-carcinogenic factors, whereas aggregate production is a dominant cause of ozone depletion, eutrophication, carcinogenicity, respiratory issues, environmental toxicity, and fossil-fuel depletion. This study analyzed the environmental impact factors of material mix and process during concrete pavement production and construction using foreign life-cycle inventory (LCI) databases. The environmental impact of each input material was identified. In the future, if an LCI and life-cycle impact assessment (LCIA) database for domestic road pavement materials is established and analyzed based on the conditions presented in this study, it is expected to lay the foundation for the development of environmentally friendly materials.
4,300원
13.
2024.12
구독 인증기관 무료, 개인회원 유료
In this study, a performance evaluation was conducted on a composite elastic asphalt precast expansion joint developed to replace steel expansion joints that frequently suffer from various damages, such as blow-up owing to increased traffic volume and abnormal weather. Two types of elastic asphalt binders were prepared by mixing a latex-based modifier, and their basic properties and performance were evaluated. Elastic asphalt binders were mixed with 8–13 and 13–19 mm aggregates to prepare elastic asphalt joint mixtures, and their permanent deformation and adhesive performance were evaluated using Hamburg wheel-tracking and direct-shear tests. Elastic asphalt joint blocks and internal reinforcement for crack prevention were applied to produce the elastic composite expansion joints, and their performance was evaluated through contraction–extension tests to determine fatigue cracking, maximum load during contraction– extension, and repeated contraction–extension tests. As a result of the performance evaluation of the developed elastic asphalt binder, both the high- and low-temperature performances were improved, and the temperature sensitivity was superior to that of general asphalt binders, exhibiting high resistance to cracking. In addition, the joint block specimens manufactured by mixing the elastic asphalt binder with 13–19 mm aggregates exhibited excellent permanent deformation in the dynamic stability and Hamburg wheel-tracking tests, and they had higher adhesive performance than the method of repairing with rapid-hardening concrete materials at low and room temperatures, where significant contraction of the concrete joint occurs. We confirmed that when a compression spring-type reinforcement was applied, the compressive force for contraction decreased significantly compared with the unreinforced state, and the tensile force for extension increased, thereby reducing the stress applied to the mixture itself. The composite elastic asphalt precast expansion joint developed in this study is expected to have superior durability against cracks and secure continuity with the road surface through the tensile force dispersing effect using expansion reinforcement. Thus, it has better drivability than the existing steel expansion joint and can absorb shocks such as vibrations and noise applied to a structure.
4,000원
14.
2024.12
구독 인증기관 무료, 개인회원 유료
Pavements have historically been used for mobility, but their usage in cities is steadily increasing owing to social and cultural development. Urban development is rapidly accelerating, primarily because of the concentration of the urban population. Additionally, the effects of the urban heat island are intensifying owing to global warming. One of the main factors contributing to this phenomenon is the increase in impermeable layers, such as asphalt and concrete pavements, in city centers. Various technological developments have been conducted to reduce the effects of urban heat islands. This study developed a moisture-retaining asphalt that absorbs moisture by incorporating a highly super-absorbent polymer (SAP) into a porous asphalt mixture, with the aim of alleviating the urban-heat-island effect. The porous asphalt mixture was designed accordingly. When the mixing design was completed, tests for the tensile strength ratio (TSR), asphalt wheel tracking, and indoor water permeability were conducted on the porous asphalt. Moreover, Hamburg wheel tracking and dynamic water acupuncture tests were performed to evaluate the compatibility of SAP moisture-retaining asphalt, and the results were as follows: Depending on the type and content of SAP, we confirmed that the TSR and permeability coefficient decreased as the amount of SAP increased, resulting in a decrease in durability. In addition, thermal characteristics and simulations showed that the SAP asphalt mixture would have a heat island reduction effect. In this paper, guidelines for the blending design of SAP moisture-retaining asphalt are presented with the aim of alleviating the urban heat island phenomenon by ensuring durability while simultaneously reducing surface temperatures.
4,000원
15.
2024.12
구독 인증기관 무료, 개인회원 유료
Potholes, one of the main causes of road-surface damage, pose a physical hazard to drivers, cause vehicle damage, and increase road maintenance costs. Hence, a model that enhances the accuracy of pothole detection and improves the real-time detection speed is required. A new model based on dilated convolutional neural networks was developed using a dataset that considers various lighting conditions, road conditions, and pothole sizes and shapes. Although the existing YOLOv5 model demonstrated high speed, it exhibited some false-positive pothole detections. In contrast, the proposed dilated convolutional neural network achieved both high accuracy and an appropriate inference speed, making it suitable for real-time detection. Compared with traditional models, the proposed model demonstrated efficiency in terms of model size and inference speed, indicating its potential suitability for systems performing real-time pothole detection when installed directly in vehicles.
4,000원
16.
2024.12
구독 인증기관 무료, 개인회원 유료
This study aimed to develop a pavement management system suitable for the climate and traffic characteristics of Gangwon Province. This research focused on analyzing the asphalt pavement performance characteristics of national highways in Gangwon Province by region and developing prediction models for the current pavement performance and annual changes in performance. Quantitative indicators were collected to evaluate the condition of national highway pavements in Gangwon Province, including factors affecting road performance, such as weather data and traffic volume. The Gangwon region was then classified according to its topography, climate, weather, traffic volume, and pavement performance. Prediction models for the current pavement performance and annual changes in performance were developed for national highways. This study also compared the predicted values for the Gangwon region using a nationwide pavement performance-prediction model from other studies with the predicted values from the developed annual changes in the performance prediction model. This study established a foundation for implementing a pavement management system tailored to the unique climate and traffic characteristics of Gangwon Province. By developing region-specific performance prediction models, this study provided valuable insights into more effective and efficient pavement maintenance strategies in Gangwon Province.
4,500원
17.
2024.12
구독 인증기관 무료, 개인회원 유료
The purpose of this study was to derive an optimal mix design for bridge deck pavements that can compensate for the limitations of latexmodified concrete (LMC). To address the limitations of LMC, this paper proposes the incorporation of silica fume into LMC. Concrete mixtures with varying ratios of latex and silica fume were prepared, and tests for compressive strength, flexural strength, and chloride-ion penetration resistance were conducted to compare and analyze the fundamental performance of each mix. Latex contributed to the improvement of the initial pore structure and significantly affected the chloride-ion penetration resistance in the early stages of curing. However, its influence gradually diminished over time. In contrast, silica fume induced additional C-S-H formation and further improved the pore structure through pozzolanic reactions as time progressed, thus exerting a greater impact in the later stages of curing. The L7-SF8 variable demonstrated the best performance in terms of compressive strength and chloride-ion penetration resistance. Given the characteristics of bridge-deck pavements, this variable is considered the most suitable for ensuring long-term durability. Therefore, this paper proposes a mixture of 7% latex and 8% silica fume as the optimal mix design.
4,000원
18.
2024.12
구독 인증기관 무료, 개인회원 유료
This study aimed to manufacture emulsified asphalt for free-heated asphalt mixtures with high solid contents using the high internal phase ratio (HIPR) technique and utilize it as basic research data by evaluating the basic properties. The optimal emulsifier was selected by considering the physical and chemical properties of the emulsifier used in the emulsified asphalt, and the solid content in the emulsified asphalt was increased using the HIPR technique. Emulsified asphalt was produced with solid contents of 90%, 80%, 70%, and 62% (current standard) in emulsified asphalt, and the basic properties of the emulsified asphalt were evaluated for each content. In addition, a free-heated asphalt mixture for the surface layer was produced by applying the emulsified asphalt produced for each content, and the performance was evaluated based on the quality standard items presented in the current guidelines of the Ministry of Land, Infrastructure and Transport. When utilizing the HIPR technique, we could manufacture up to 90% of the asphalt solid content in the emulsified asphalt; however, applying it to unheated asphalt mixtures because of the increase in viscosity was impossible. We determined that it could be applied up to a maximum solid content of 80%. In addition, in the free-heated asphalt mixture test, the ratio of the air void increased as the solids content increased, but the strength decreased. An examination of the fracture surface after the strength test revealed that it was brown, which is a characteristic color of emulsified asphalt. This was because the curing time became insufficient as the solid content increased, resulting in insufficient time for strength development. To ensure the performance of the free-heated asphalt mixture, we observed that the viscosity of emulsified asphalt with a high solid content should be reduced; securing the curing time accordingly was an important factor, and it was determined that additional research is necessary.
4,000원
19.
2024.12
구독 인증기관 무료, 개인회원 유료
To develop a heat-generating asphalt pavement utilizing a phase-change material (PCM), this study evaluated the application method of a PCM as an asphalt material and the thermal and physical properties of asphalt mixtures. The selection of PCM materials according to the phase-change temperature range suitable for thermal asphalt pavements and the encapsulation method for application to asphalt materials were examined, and encapsulated PCMs (ePCMs) using various materials were produced. The thermal and physical properties were evaluated through chamber experiments and strength tests by applying the ePCMs to asphalt mixtures. The characterization results of the ePCMs showed that ePCM-C had the highest latent heat, thermal stability, and physical stability in the asphalt binder and mixture. The chamber test results showed that ePCM-C, which had high latent heat, had the longest temperature delay time under all conditions. The mixing ratio was calculated by volume to substitute low-density ePCM into the mixture; as the ePCM content increased, the asphalt content also increased. The results of the Marshall stability and indirect tensile strength tests indicated that as the ePCM content increased, the strength and crack resistance properties decreased. Asphalt mixtures containing ePCMs have demonstrated the ability to maintain temperature for a long time within a specific temperature range. If an ePCM is improved such that it is not damaged under the production conditions of asphalt mixtures, it is expected to be sufficiently utilized as a technology for preventing road freezing.
4,000원
20.
2024.12
구독 인증기관 무료, 개인회원 유료
Overloaded freight vehicles significantly contribute to road damage and increased maintenance costs, posing critical challenges for road management. This paper proposes an optimal decision-making methodology that incorporates the strategic behavior of road users into Weigh-In-Motion (WIM) enforcement strategies. The objective is to effectively derive optimal WIM installation locations while minimizing pavement maintenance costs and traffic congestion. The proposed framework consists of a bi-level optimization model. In the upper-level problem, decision-makers determine the optimal WIM installation locations within budget constraints. In the lower-level problem, drivers select routes to minimize their individual travel costs. The model integrates road management and travel costs to derive a balanced WIM installation strategy. Numerical experiments demonstrated that the proposed model identified WIM installation locations that effectively balanced the pavement management and travel costs. The results indicated that the proposed enforcement strategy can reduce pavement management costs while minimizing traffic congestion, thereby enhancing the overall efficiency of the transportation network. This paper provides a strategic foundation for reducing road damage and long-term maintenance costs by encouraging overloaded vehicles to comply with the legal weight limits. The proposed methodology serves as a practical guideline for WIM installation decision-making and policy development, contributing to the effective management of road networks.
4,000원
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