In the second half of the twentieth century, climate scientists have observed significant climate change events. Climate change scenarios characterized by increased temperature and precipitation in urban areas have resulted in disasters such as the urban heat island effect or street flooding. In response to these extreme climate scenarios, engineers have proposed permeable pavement technology. Permeable pavement is a type of pavement that allows water to flow through existing cavities into the pavement. The benefits of permeable pavement include reducing storm water runoff, reducing the heat island effect, and improving water quality, and reducing noise. In this study, a mechanistic-empirical analysis was performed to model the performance of permeable pavement in a subtropical climate with two variations of base and soil materials under both low and high traffic scenarios. The performance criteria for fatigue cracking and rutting were used to determine the service life of the permeable pavements. Furthermore, the estimated pavement performance was used to perform the life cycle analysis of the permeable pavements. Economic, environmental, and social sustainability aspects during the construction, maintenance, and operation periods were modelled for a 20 year analysis.

Pavement performance usually depends on the pavement’s material property, traffic and environmental conditions. Current pavement design programs such as the Mechanistic Empirical Pavement Design Guide use these factors in assessing the pavement life and performance in terms of different distresses like rutting and fatigue cracking. Theoretically, the cracking and rutting behaviour of pavements are based on accumulated strains experienced by the pavement which is brought by the weight and loading speed of vehicles. A steady state loading device was used in the field to evaluate pavement deflection’s behaviour in varying loading frequencies. It was observed that the pavement deflection increases as the loading frequency also increases until it approaches a certain frequency wherein the deflection decreases thereafter. In this study, a three-dimensional finite element pavement model was established using ABAQUS wherein the effect of the vehicle’s loading frequencies was analysed. The calculated static deflection and stress from the finite element (FE) model were found to have good correlation with the KENPAVE measured deflection and stress. The deflections of different pavement conditions were further studied and analysed by generating several pavement geometries and strength from the FE model using a frequency sweep response analysis. It was found that the geometric condition and the current modulus of the pavement can amplify the pavement deflection by a factor, β, depending on the loading frequency. The peak deflection was found to be occurring when the loading frequency approaches one of the pavement’s natural frequencies. Based on the finding from this study, the natural frequency is an important factor to be considered in designing pavements. Further study is recommended to understand more on how to minimize the effect of natural frequency to pavement life.

In this paper the authors would like to present and share the measurements of load spectra and their modelling for pavement design purposes in the Mexican road network, which due to the intense level of trade with the United States present a very high percentage of heavy vehicles in the flow of vehicles and with high levels of load. Examples of these measurements are given in the country's main transport corridors. Damage spectra are also presented that are associated to each of the different axle types (i.e., single, dual, tandem, tridem or another one) by computing for instance the Miner damage coefficient in the same load ranges used in the definition of the load spectra. Is this frequency distribution of the Miner damage coefficient that is called damage spectra. The damage spectra seem to be a very useful tool to evaluate the pavement expected damage, i.e., rutting or fatigue cracking, induced for a given axle type. Moreover, it can be showed that there is a direct relationship between the forms in load and damage spectra. Some examples are presented to illustrate the damage spectra computations. The incorporation of these load spectra into mechanistic design methodologies and their implications in the definition of public policies for the preservation of the road network are discussed.

It has been recognized that the performance of pavements is closely related to the properties of the underlying unbound layers and subgrade. It has also been recognized that unbound pavement materials possess a complex nature and often exhibit nonlinear behaviors [1, 2]. The Mechanistic-Empirical Pavement Design Guide (MEPDG) is founded on the use of resilient modulus as the primary input parameter when characterizing unbound pavement materials [3, 4]. The resilient moduli of unbound materials are typically determined by performing repeated load triaxial (RLT) tests in the laboratory. Due to that laboratory resilient modulus tests require sophisticated equipment and trained operators following complicated test procedures, many transportation agencies may not have access to the laboratory facility and opt to correlate resilient modulus with field tests [5]. The long-term pavement performance (LTPP) program offers a large and diverse database that includes a range of laboratory-derived and field-derived properties for unbound materials of many in-service pavement sections. This study is aimed to utilize LTPP data to develop a correlation between the laboratory-derived resilient modulus and a field-derived parameter, dynamic cone penetration index (DCPI) for unbound aggregate materials. Data extracted from the LTPP database were subjected to a thorough quality check to ensure that the data are of good quality and without errors. One-on-one univariate regression was first performed to examine the significance of different variables, including DCPI and some physical properties such as dry unit weight, water content, plasticity index, percent passing No.200 sieve. The physical properties that show strong correlation were selected to be combined with field test parameter (DCPI) to conduct a multivariate regression analysis. A statistical model was developed for the prediction of resilient modulus of unbound aggregates from the DCP test parameters and physical properties. The model predicted a separate data set that did not participate in the correlation analysis, suggesting the success of applying the DCP test in evaluating the resilient modulus of pavement unbound aggregate materials.

When piles adjacent to deep excavations (i.e. tunnel operation), pile for slope stabilization, highway embankments near abutment piles in soft soil, the load generates lateral soil movement on pile. The lateral soil movement leads to develop the horizontal pressure between the pile and soil, also increase deflection as well as bending moment in the pile. In order to investigate a single pile subjected to horizontal loads due to the movement of the upper soil layer, the pile and soils are modelled by using 3D finite element analysis in this paper. The finite element analysis software used in this study is ANSYS. Furthermore, the soil's elastic behaviour follows the Mohr-Coulomb model and the pair of contact elements is used to simulate the pile-soil contact. A good correlation between laboratory and predicted results is observed in the validation analysis. The parametric study also demonstrates that soil Young's modulus and soil movement profile are key factors in predicting the behaviour of the pile.

In this study, a novel method based on ground penetration radar (GPR) is proposed to categorize underground objects by using both B-scan and C-scan images. Three-dimensional GPR data obtained from a multichannel GPR system are reconstructed into a two-dimensional (2D) grid image which consists of several B-scan and C-scan images. Three-dimensional shape information of an underground object can be well represented in 2D grid image. The 2D grid images are then trained using deep convolutional neural networks (CNN) that is a state-of-the-art technique for image classification problem. The proposed method is validated through field applications on urban roads in Seoul, South Korea.

This research evaluates the applicability of ponded ash in the production of backfill material. From various ponded ash/sand ratios, cement, and air foam conditions, test specimens were developed to investigate many engineer properties of backfill material. Then, the falling weight deflectometer and excavation tests were carried out to determine the behavior of the material in the actual testbed. The test results suggested that all mixtures achieved optimal flowability performance with acceptable stiffening time. It is indicated that the compressive strength increased as ponded ash and cement contents increased, but the strength decreased with an increase in air-foam content or number of freeze-thaw cycles. From the testbed results, it was found that utilizing 100% ponded ash in the production of backfill material is very promising for sustainable development purpose.

In recent years, there have been applied methods for minimizing noise by adjusting the method of installing soundproof walls, soundproof tunnels, soundproofing rims, environmental facilities, etc., and the shape of the surface texture of tire treads and packaging materials for the purpose of reducing road noise. Low noise pavement methods such as rubber asphalt (CRM), open graded asphalt concrete (OGAC), permeable Friction Courses (PFC), open graded friction courses (OGFC) and porous asphalt have been applied to reduce road noise. Especially, porous pavement is the most widely used low noise pavement with porous structure, which can reduce noise and drain water through continuous void of pavement. On the other hand, porous asphalt pavement has problems such as reduction of noise reduction effect and difficulty of road surface management due to void closing and increase of construction cost. The purpose of this study is to develop ultra-thin layer hot mix asphalt pavement method which maximizes road noise reduction effect by surface micro voids (Recover asphalt pavement) to improve void clogging of present porous pavement method. For this study, maximum size 5mm aggregate and cationic-treated fiber reinforced asphalt modifier (CSM) were used. The Marshall design method was applied grain-size distribution curve was based on SMA mix design. Marshall test, TSR, MMLS3 test and Hamburg test were carried out to evaluate the mechanical properties of ultra -thin layered asphalt pavement method with surface micro voids. Also, the effect of road noise reduction was evaluated through field application in urban area.

Recently, as road users have become increasingly important, the importance of functional performance as much as structural one has been important to provide comfortable and safe road services. As a result of the survey on the customer satisfaction of the highway, the road surface condition is selected as the most important area of the road service, and the functional performance such as driving comfort and noise is pointed out as an important problem. Therefore, many studies have been conducted to improve this problem. In most cases, there is a fundamental limitation in providing a comfortable road to the user through the roughness management of the final layer. In this paper, a study was carried out to improve the roughness of the final layer by controlling the roughness of each layer. In construction field of Busan-ChangWon expressway, roughness was measured by three methods according to construction phases of subbase, 1st and 2nd base layer, intermedia layer and surface layer. As a result of the analysis, it was found that the roughness of the lower layer affects the roughness of the upper layer. Especially, the roughness of 1st base layer was relatively clear correlation with the intermedia and the surface layer IRI. In the future, after getting more field data and establishing the management standards, it is possible to provide a comfortable road to users.

Hydraulic and drainage properties play an important role in the serviceability of a permeable block pavement system. A serious impediment to its performance is the accumulation of sediments over time. The deposition of these particles in block pavement joints reduces infiltration rate and drainage capacity, which, in the long run, decreases the system’s life span. In this study, laboratory experiments were conducted in order to investigate the influence of particle deposition on the hydraulic conductivity of a type of block pavement system, permeable stone paver, without maintenance or cleaning. Coefficients of permeability before and after addition of fine particles were evaluated using a developed permeability equipment with constant head frame. Three gradations of silica sand were used to simulate road clogging particles. An equivalent of eight years of sediment loading was applied to three identical permeable pavement samples. Laboratory test results showed an average of 77% reduction on the permeability due to particle accumulation.

The Paris Agreement compared to the Kyoto Protocol has a distinct characteristic of all non-party stakeholder’s participation including civil society, private sector, and other subnational authorities to respond to climate change. This study develops Green Infrastructure Performance Index(GIPI) to measure, report and verify greenhouse gases reduction impacts on climate change policies particularly focusing on road transport sector in Korea. It is applied with 16 metropolitan areas to provide policy planners with valuable reduction information and practical and on-time policy implications. The empirical findings show that applying to traffic avoidance, technology improvement, and modal shift strategies through GIPI with the 9 core indices (eco-driving activity, electric vehicle usage, mileage-based auto insurance, etc.) that set target achievement in 2030 is projected to reduce 34.7 mill. CO2-eq, accounting for 11.2% above the national carbon dioxide reduction target of 25.9 mill. CO2-eq by 2030.

Pavement Condition Index (PCI) is an important index to establish a proper maintenance and rehabilitation strategy of a road network. The index is calculated based on the present state of surface defects, deformation and cracking. The information is normally obtained by visual inspection and observation of road networks. Nowadays, various sensor-based visual inspection techniques are applied to obtain detailed information of a road network, and to automate the entire process of calculating PCI. Hyperspectral analysis is a technique to identify the spectral signature of a material in the electromagnetic spectrum. The technique is being applied to pavement condition evaluation. Some researchers have reported that Exposed Aggregate Index (EAI) has a relationship with the reflectance of a hyperspectral image of a road network. In this study, the possibility of using hyperspectral images for pavement condition evaluation is experimentally investigated and the relationship between EAI and PCI is addressed.

The purpose of this study was to investigate the feasibility of converting the results obtained using different rutting performance tests. The correlation between the three simulation tests was analysed to determine the conversion coefficient factor. Two parameters (temperature and speed of simulation testing) were evaluated in this study. The results of this study have shown that the values obtained in the SALS test were lower than those obtained in the HWTT and UKWTT. The conversion of the SALS test results to the HWTT results yielded a good propensity value. The temperature is important parameter for determining the conversion coefficient factor.

As of 2016, Texas Department of Transportation (TxDOT) manages a total of 16,327 lane miles of Portland cement concrete (PCC) pavement, which represents an important asset to TxDOT. As PCC pavements in Texas built in the 1960s through 1980s have already exceeded or are approaching the end of their design lives, many of these projects will require rehabilitations of some form. Considering the expected steady increase in truck traffic in the future, PCC overlays represent one of the best options for that rehabilitation. Currently, guidelines on PCC pavement overlays on PCC pavement focus on overlay slab thickness determination, but do not provide clear directions on whether existing PCC pavement is a good candidate for concrete overlay, or if the pavement is a good candidate, which overlay type –bonded concrete overlay (BCO) or unbonded concrete overlay (UBCO) –is appropriate. Sound guidelines are needed for the selection of an optimum overlay type, especially for continuously reinforced concrete pavement (CRCP) overlays, which could extend the performance period of structurally deficient PCC pavements in Texas at a reasonable cost. In the present study, the evaluations of PCC overlay performance of various BCO and UBCO projects built in Texas were conducted to develop the BCO design procedures based on mechanistic-empirical principles, and the development of design guidelines for the selection of an optimum overlay type.

In Vietnam, reclaimed asphalt pavement technology is considered as the key to reduce the cost of pavement construction, and decrease the industrial waste from flexible pavement rehabilitation. Ministry of Transportation has concentrated to develop RAP technology since 2008. As a result, there are three trademark of recycling technologies applied in Vietnam such as Wirtgen (Germany), Hall Brothers (U.S.), and Sakai (Japan). This paper is focused on asphalt pavement investigation of field and laboratory tests from Cold In-place recycling technology. The laboratory tests carried out on the material were conventional tests including Marshall stability, indirect tensile strength... Field data was collected using a Benkelman beam and core specimens for indirect tensile strength test.

There are various issues affecting the financial revenues of expressways, such as new transportation systems, the opening of new roads, and free toll charges. As a result, expressway toll revenues for 2017 increased only 0.3% from the previous year. If this trend continues, the steady increase in expressway revenue may have occurred, therefore it is necessary to improve the model of annual trips and revenues considering various external variables that are occurring recently. In this study, we constructed annual trips forecasting model that can analyze more precisely the changes of road network by using new independent variables (which are not considered in existing models) such as weighted length considering regional traffic volume level and private road ratio. Also we performed a basic statistical analysis on oil prices and reflected the model as a dummy variable to improve the explanatory power of the model. And we established an analysis process to estimate the toll revenue. The results of this study can be used as the basic data for expressway financial model.

This study suggested a new real-time traffic signal operation algorithm using combined data of travel time and occupancy rate. This study applied the travel time data to traffic signal control system, and developed the signal operation algorithm based on saturation degree that was calculated using the travel time data. This algorithm calculates a queue length using a delay model, and converts the queue length to the saturation degree. Moreover, it calculates signal timing variables using this combined saturation degree. This study conducted a microscopic simulation for effectiveness evaluation. We checked that the average intersection delay decreased by up to 27 percent. Moreover, we checked that this signal operation algorithm could respond to a traffic condition of oversaturation and loop detector error effectively and usefully. In korea, sectional traffic detection systems are being installed in various ITS projects, such as Advanced Transportation Management System(ATMS) and Urban Transportation Information System(UTIS). This study has important significance in the sense that it is new methodology to accept the sectional detection system in traffic signal control system.

The purpose of this project is to seek strategic response for the Korea Expressway Corporation(hereinafter referred to as Public corporation) about the change of the fourth industrial revolution. For this purpose, the project scope has 3 phase. 1. Characteristic of the 4thindustrial revolution and the trend of major change. 2. Prospect of Future Expressway and changes related industry. 3. Publiccorporation’s Short-term strategy and detailed challenges. Also, The Project analyzes the KDF and patterns, which directly/indirectly affect the Public Corporation with change of 4th industrial revolution. As a result, Making a Mid-term and Short-term strategy for respond to future change with Structuring Causal Relationships and Deriving Future Scenarios. Moreover, we focuses on a shift in the number of key changes in the 4th industrial revolution and the first consideration to derive a significant change in the direction of change in the 4th century, focusing on trends that will not change the trend in 10 years, rather than 10 years later. First, The 4th industry revolution is not just point of view that integration of technology such as IOT,AI but Motivation that Creating the innovation in the whole society with huge change of social system. So executing Macroscopic analysis for formation of sympathy. Second, creates core changes drivers individual, businesses, and national level drivers in future trends. And the strategic direction that road's role and function at future society are reflected in the public corporation's strategic tasks. Thrid, For prospect of future expressway, reviewing public corporation's existing research data. As a result, Preventing duplicate researches and enhance research efficiency. Fourth, an analysis of the present situation Through expert review of the 4th industry revolution and future development direction by convergence based on a current road map. Considering the change in the social and social environment, prospect future outlook with Deduction of change drivers that will not changed after 10years. Fifth, focus on human desires and values, technological innovation, solving problems, converging technology culture, solving social issues, and responding to changes in social issues. In order to realize this, it is possible to communicate in storytelling so that ordinary people can easily understand the changes in the area. Based on the scenario, we prepared for the future of the Korea Expressway Corporation by setting up a total of 15 detailed tasks based on the scenario and the fact that 15 different aspects of the project are based on the scenario.

The government focuses the innovation paradigm of public institutions on the realization of social value through national tasks. Efforts are now being made to legislate the Framework Act on the Realization of Public Institutions’ Social Value, which allows public institutions to serve as the foundation and check the progress of social value realization plans every year. According to this Act, the government performance review must also reflect efforts and outcomes made to create social value. Traditional public institutions in the road sector are trying to convert social responsibility, job creation and related activities into indicators of social value realization. Social value refers to a “value that can contribute to public interests and community development in all areas including social, economic, environmental, and cultural ones.” This definition commonly used in government policy includes the concept of public institutions’ social responsibility and shared value creation. Here, social responsibility refers to the returning of corporate profits to society for the continued development of a community while shared value creation refers to the solving of a social problem by a company pursuing both economic and social value creation. The performance sharing scheme in particular is regarded as an important tool for companies to create social value. In this regard, this study examines how public institutions in the road sector used the performance sharing scheme. The purpose of this study is also to discover more cases based on this analysis. The analysis so far found the following 5 types of performance sharing schemes in the road sector: (a) service improvement, (b) technology development, (c) conditional purchasing, (d) technology transfer, and (e) performance sharing between multiple parties. Notably, technology transfer or performance sharing between multiple parties means that public institutions provide support to the private sector so that it can take the lead and develop required technology. These instances can be good examples of public institutions serving as the foundation and creating social value by removing new technology entry barriers for small and medium-sized enterprises and supporting the development of the latest prioritized technology or product. Accordingly, there needs to be established a cooperative ecosystem between small, medium, and large companies in a win-win approach to increase the adoption rate of SME support projects and provide more technical advice in the road sector and thereby, to expand the cases of shared growth where outcomes are shared in the road sector.

One of the most important national tasks of the current administration is to realize social value and boost the economy. In the road sector, it is particularly important to ensure the road sectors public good and create jobs based on the Framework Act on the Realization of Public Institutions’ Social Value (Proposal). In regard to job creation in the road sector, however, there has so far been a lack of career management for construction engineers. In this regard, this study used Monte Carlo simulation and analyzed how to estimate the amount of manpower required to efficiently manage engineering human resources in the road sector. Monte Carlo simulation uses random numbers for prediction and estimation, extracts values repeatedly from a probability distribution predefined by the user, and performs tasks on various scenarios. This study made the following assumptions for the analysis: (a) researchers’ abilities were identical; (b) the research project was analyzed on a 1 year basis while technical advice was analyzed on a 9-week basis to reflect the characteristics of the road sector; (c) technical advice had the same probability from Week 1 to Week 52; (d) the amount of manpower required for a project carried over to the next year was input at the beginning of the year; and (e) the largest amount of manpower required at any particular time in a year was calculated and estimated as required manpower. The input variables were an estimated number of project and technical advice in each research field while the output variables were the amount of manpower and technical advice required for each research project. Simulation was performed 10,000 times. An analysis found that required number of manpower for case analysis was 75 as opposed to the current number of 66, assuming that 57 research projects were undertaken and technical advice was provided 223 times. Every sector is making efforts to create social value through various means. The field of construction social overhead capital is no exception. It has undertaken a very important task to ensure the role of roads in public good and create jobs. However, there is still a lack of objective approach to estimate the required amount of manpower. Thus, as done in this study, calculating required manpower through the simulation method would be useful as an objective evidence for job creation.