Ministry Of Land , Infrastructure And Transport Research Articles

Investigating the Correlation between Air Pollution and Housing Prices in Seoul, South Korea: Application of Explainable Artificial Intelligence in Random Forest Machine Learning

South Korea’s Particulate Matter (PM) concentration is among the highest among Organization for Economic Cooperation and Development (OECD) member countries. However, many studies in South Korea primarily focus on housing characteristics and the physical built environment when estimating apartment prices, often neglecting environmental factors. This study investigated factors influencing apartment prices using transaction data for Seoul apartments provided by the Ministry of Land, Infrastructure, and Transport (MOLIT) in 2019. For this purpose, the study compared and analyzed a traditional hedonic price model with a machine learning-based random forest model. The main findings are as follows: First, the evaluation results of the traditional hedonic price model and the machine learning-based random forest model indicated that the random forest model was found to be more suitable for predicting apartment prices. Second, an importance analysis using Explainable Artificial Intelligence (XAI) showed that PM is more important in determining apartment prices than access to education and bus stops, which were considered in this study. Finally, the study found that areas with higher concentrations of PM tend to have higher apartment prices. Therefore, when proposing policies to stabilize apartment prices, it is essential to consider environmental factors. Furthermore, it is necessary to devise measures such as assigning PM labels to apartments during the home purchasing process, enabling buyers to consider PM and obtain relevant information accordingly.

An Analysis of the Effectiveness of Mitigation Measures at Roadkill Hotspots in South Korea

Collisions between wildlife and vehicles or roadkill remain a persistent issue. This poses a significant threat to the safety of both wildlife and drivers. The lack of systematically managed roadkill records poses challenges for nationwide research and comprehensive assessment in South Korea. Since 2018, the Ministry of Environment (MOE), Ministry of Land, Infrastructure and Transport (MOLIT), and National Institute of Ecology (NIE) in South Korea have been implementing roadkill investigations and management. The areas selected for roadkill mitigation measures were determined through hotspot analysis based on nationwide roadkill data collected using the Korean Roadkill Observation System (KROS), an integrated online platform. In this study, the top 50 roadkill hotspots were selected, and appropriate mitigation measures, including wildlife fences, warning signs, and speed enforcement cameras, were implemented. A total of 190.6 km of wildlife fences, 75 warning signs, and 27 speed enforcement cameras were installed. The results of these implementations revealed an average reduction in roadkill incidents of 80.2%. Subsequently, we compared and analyzed roadkill incidents before and after these mitigation measures were implemented. The comparative analysis based on hotspot grades showed that areas with lower grades had relatively lower reductions in roadkill incidents. Moreover, the study showed that the presence of multiple mitigation measures in a single area did not significantly differ from the effects of a single mitigation measure. This research will contribute to an enhanced understanding of roadkill mitigation measures and aid in preventing wildlife accidents on the road.

Changes in heavy-weight impact sound isolation by construction stage in new residential buildings

In Korea, 63% of the population lives in residential buildings. Due to the prevalence of residential buildings, there are constant disputes and complaints related to floor impact sound. To address the floor impact sound problems, the Ministry of Land, Infrastructure, and Transport (MOLIT) announced strong legal regulations from 2022. The law holds construction companies liable for compensation if they fail to meet the minimum sound insulation standard. The existing construction methods for floor structures were unable to meet the required minimum sound insulation standards, leading to the need for improvements. The evaluation process was enhanced by changing the source from bang-machine to impact ball, leading to more accurate assessments of floor impact sound insulation. In response to the challenges faced with existing methods, the research paper developed and applied a composite floor structure using a new material with increased area density. The performance of each construction stage in the new composite floor structure was measured and evaluated according to the ISO 16283-2 (testing) and ISO 717-2 (evaluation) standards. The implementation of the new composite floor structure with increased area density resulted in a noise reduction of up to 10 compared to the bare slab. [Work supported by the Industrial Technology Innovation Program (20023556, Development of personalized noise mitigation technology and service based on noise simulation to solve the noise problem in personal space) funded By MOTIE, Korea.]

Estimation of Threshold Rainfall in Ungauged Areas Using Machine Learning

In recent years, Korea has seen abnormal changes in precipitation and temperature driven by climate change. These changes highlight the increased risks of climate disasters and rainfall damage. Even with weather forecasts providing quantitative rainfall estimates, it is still difficult to estimate the damage caused by rainfall. Damaged by rainfalls differently for inch watershed, but there is a limit to the analysis coherent to the characteristic factors of the inch watershed. It is time-consuming to analyze rainfall and runoff using hydrological models every time it rains. Therefore, in fact, many analyses rely on simple rainfall data, and in coastal basins, hydrological analysis and physical model analysis are often difficult. To address the issue in this study, watershed characteristic factors such as drainage area (A), mean drainage elevation (H), mean drainage slope (S), drainage density (D), runoff curve number (CN), watershed parameter (Lp), and form factor (Rs) etc. and hydrologic factors were collected and calculated as independent variables, and the threshold rainfall calculated by the Ministry of Land, Infrastructure and Transport (MOLIT) was calculated as a dependent variable and used in the machine learning technique. As for machine learning techniques, this study uses the support vector machine method (SVM), the random forest method, and eXtreme Gradient Boosting (XGBoost). As a result, XGBoost showed good results in performance evaluation with RMSE 20, MAE 14, and RMSLE 0.28, and the threshold rainfall of the ungauged watersheds was calculated using the XGBoost technique and verified through past rainfall events and damage cases. As a result of the verification, it was confirmed that there were cases of damage in the basin where the threshold rainfall was low. If the application results of this study are used, it is judged that it is possible to accurately predict flooding-induced rainfall by calculating the threshold rainfall in the ungauged watersheds where rainfall-outflow analysis is difficult, and through this result, it is possible to prepare for areas vulnerable to flooding.

항공종사자에 대한 처분제도 개선방안에 관한 연구

In the aviation, airmans play a key role in aviation safety and perform tasks within a given range based on professional knowledge. If they fail to properly fulfill their obligations under the Aviation Safety Act, the Ministry of Land, Infrastructure and Transport(MOLIT) will dispose of them in accordance with the purpose of the Aviation Safety Act. However, in the case of this disposition, it does not specifically consider the circumstances of the violation, and has a limitation in that the evidence regulations are too limited, and the contents of the disposition are uniform. Therefore, this study attempted to present a plan to improve the disposition in order to improve the problem of administrative disposition for airman. To this end, we conducted a comparative analysis of the disposition of airmans through overseas cases, and Specifically, the three-stage disposition model and effectiveness were conducted in the direction of specific judgment on violations and predictability of disposition. We would like to propose a safety improvement order to increase the level of safety and proposed amendments to the law for the method of imposing a fine for negligence.

영상기반 비상착륙영역 인식 프레임워크를 위한 심층 합성곱 신경망 기반 영상처리 알고리즘

The UAM (Urban Air Mobility) industry is currently in the limelight To adopt sustainable urban transport systems and contribute to the advancement of aerospace technology, the MOLIT (Ministry of Land, Infrastructure and Transport) of South Korea has developed the K-UAM (Korea Urban Air Mobility) roadmap by collaborating with industries and academia to lead research and development related to the emerged industry. To guarantee the high reliability of industrial-level autonomous flights in urban areas, high priority should be provided to observe flight safety and survivability measures. This paper proposes adopting DNN (Deep Neural Network) based image processing for a vision-based safe landing region recognition framework to satisfy research and development needs. This framework is one of the core elements of the flight contingency plan for UAM and drone transportation in urban environments. Our proposed algorithm can recognize the coarse candidate region to land safely by using a DNN and then determine the refined safety zone by using the contour detection algorithm. To verify the performance of the proposed contribution, a simulation was done and the results were analyzed. The findings proved to be valid with regard to both the quantitative and qualitative terms. Therefore, our proposed framework will not only overcome the image processing complexity of the real world but also improve the enhancement of the flight emergency relief performance.

Evaluation of the Expressway Work Zone Guidance Systems Using a Virtual Driving Simulator

Various road occupation works pose potential risks of traffic accidents because they cause traffic bottleneck and congestion, which lead to unstable driving patterns such as quick deceleration and lane changes of vehicles. Even though guidance signs are installed and managed in work zones for preventing traffic accidents, the differences of installation criteria set by the Korea Expressway Corporation (KEC) and the Ministry of Land, Infrastructure and Transport (MOLIT) may increase the confusion of drivers. Therefore, this study set scenarios that take into consideration the colors and shapes of the work zone guidance signs used in driving tests through a virtual driving simulator and a survey on the preferences of drivers. According to the survey on the preference of drivers, 73% of the respondents analyzed prefer guidance signs in fluorescent orange color. In terms of driving patterns, the criteria of the KEC were found to induce smooth deceleration in expressway work zones than those of the MOLIT. In terms of driver concentration, the guidance signs conforming to the criteria of the KEC led to approximately 1.15 times higher concentration than those conforming to the MOLIT, which means that the former induce cautious driving in expressway work zones. The result of this study may be utilized as meaningful data for preventing traffic accidents by improving the traffic safety of road work zones on expressways and general roads, as well as by improving the traffic flow efficiency.

Development of Railway Infrastructure BIM Prototype Libraries

Building Information Modeling (BIM) can act as a solution to improve various difficulties faced in the construction industry. BIM is expanding into infrastructure facilities for integrated information management, productivity improvement, and risk management. There are many cases where BIM is applied to buildings with horizontal and linear characteristics, but the infrastructure is different from the method of applying BIM to buildings with vertical characteristics. Using premanufactured libraries in BIM-based design can shorten the design time and simplify the design method, thus increasing the 3D design productivity. This paper develops BIM prototype libraries based on the standards from the Ministry of Land, Infrastructure, and Transport (MOLIT) of South Korea for railway infrastructure. BIM tools such as Civil 3D, Revit, and AECOsim were used by reflecting the characteristics of each facility, and the libraries, with a total of 762 types in 363 files, were constructed. The specifications were created by linking the common and facility-specific attribute items to the libraries. The result of the test modeling using the developed library showed significant productivity improvement, such as an average difference of 38.2% was observed for roadbed modeling and a mean difference of 50.2% for bridge modeling.

A Case Study on Energy Consumption and Calibration of Green Remodeling Buildings

Ministry of Land, Infrastructure and Transport (MOLIT) has increased reduction rate from 18.1% to 32.7% in Building sector compared to BAU of the national greenhouse gas emission according to the 2030 Greenhouse Gas Reduction Road map Amendment. For this purpose, MOLIT has been activating the green remodeling projects for existing buildings. Considering that 15 year old buildings after completion are 74% (5.25 million buildings) among about 7 million existing building stocks in Korea, reduction of building energy consumption by green remodeling is urgently needed, However, it is a major difficulty of activation for green remodeling projects because there are few case studies on Before and After building energy consumption of actual green remodeling projects. Considering that building energy performance and value increase after green remodeling through previous researches, additional studies of the energy consumption assessment on actual green remodeling projects are essential. Therefore, this study aims to propose results on Before and After building energy consumption of actual green remodeling projects.

An Exploratory Study on the Ripple Effect of Last Mile Delivery Service Industry Development Act

4차 산업혁명 기술 중 하나인 인공지능으로 인해 공유경제에 대한 개념은 우리 사회에 매우 빠른 속도로 확산되고 있다. 플랫폼 기술의 발전은 수요와 공급을 일치하는 속도를 증가시켜 효율성을 증대시키고 있다. 한편 공유경제의 개념은 기존의 전통적인 산업구조의 변화를 요구하고 있어 화물자동차운송사업 분야에 공유경제를 기반으로 한 신규 시장 진입자와 전통적인 화물자동차 운송사업자 간의 갈등이 충분히 예상되는 상황이다. 하지만 공유경제의 진화가 화물자동차운송사업에 어떠한 영향을 미칠 것인지에 대한 연구는 부족한 실정이다. 최근 국토교통부에서는 플랫폼 사업기반 ‘생활물류서비스산업발전법’ 제정을 추진하고 있어 향후 전통적인 화물자동차 운송사업에 많은 영향을 미칠 것으로 예상된다. 따라서 본 연구에서는 공유경제의 개념과 논리를 알아보고 이를 토대로 국토교통부가 추진하고자 하는 ‘생활물류서비스산업발전법’의 제정에 따른 파급효과를 살펴보고자 하였다. 이를 위해 미래의 상황을 가정하고 예상되는 결과를 토대로 화물자동차운송사업의 변화 가능성을 예측하였다. 분석결과는 다음과 같다. 첫째, 국내 택배사업자들은 무한경쟁 속에서 해외자본과 경쟁을 해야 할 것이다. 둘째, 기존 택배기사들의 시장퇴출이다. 셋째, 퀵서비스 및 늘찬배달업의 사업영역 확대이다. 마지막으로, 유통거래구조의 변화이다. 그리고 ‘생활물류서비스산업 발전법’의 출현은 지금 당장 택배와 퀵서비스 및 늘찬배달업이라는 기존의 틀만 포함될 것이지만 선진외국에서도 논의되는 Crowd logistics 등의 개념이 빠른 시일 내에 동법에 포함될 것으로 예상된다. 본 연구는 공유경제 개념에 기반하는 관련 법률의 영향을 분석한 초기 연구로서의 의의가 있을 것으로 기대한다.Due to artificial intelligence, which is one of the fourth industrial revolution technologies, the concept of sharing economy is rapidly spreading to our society. The development of platform technology is increasing the efficiency by increasing the speed to match demand and supply. On the other hand, the concept of sharing economy calls for change of existing traditional industrial structure. Therefore, conflicts between entrants to new markets based on sharing economy and traditional freight car carriers are expected in cargo vehicle transportation business. However, there is a lack of research on how the evolution of the sharing economy will affect the trucking transport business. Recently, the MOLIT(Ministry of Land, Infrastructure and Transport) is promoting the last mile delivery service industry development law, which is expected to have a great impact on the traditional cargo transportation business in the future. The purpose of this study is to investigate the ripple effects of the Act on the last mile delivery service industry development law which tried to MOLIT based on the concept and logic of sharing economy. To do this, we predicted the possibility of a change in trucking transport business based on the expected results assuming the future situation. The results of the analysis are as follows. First, domestic courier companies will have to compete with foreign capital in unlimited competition. Second, courier drivers will be kicked out of the market. Third, expansion of business area of quick and local delivery and messenger services business. Finally, it is a change in the retail transaction structure. In addition, the emergence of the Law on last mile delivery service industry development will include the existing framework of courier service, quick and local delivery and messenger services, but it is expected that the concept of Crowd logistics discussed in advanced countries will be included in the law as soon as possible. This study is expected to be of significance in early -stage studies analyzing the effects of related laws based on the concept of sharing economy.

Performance evaluation of the use of tire-derived fuel fly ash as mineral filler in hot mix asphalt concrete

Abstract According to deplete natural resources and need to protect the environment, the demand of a usage of waste material has significantly increased. Many studies are currently being carried out on the development of innovative and environmentally friendly materials for securing the safety of road users and improving the performance and durability of roads. For example, studies are currently being conducted on the use of waste tires as a substitute for currently used fuels. Since the development of the automobile industry, the amount of waste tire has continuously increased in accordance with the increased vehicle numbers. Tire-derived fuel (TDF) has been used as a fuel source with generated TDF fly ash. Mineral filler, made of fine mineral particles of a physical size passing the number 200 standard mesh sieve (75 micron), plays an important role in asphalt mixtures properties. This paper presents an application of TDF fly ash as filler in hot mix asphalt (HMA). In this study, the performance of TDF fly ash was confirmed through a comparison with three other mineral fillers: stone dust, cement, and hydrated lime. Various tests including Marshall stability test, moisture sensitivity test, dynamic immersion test, and a wheel tracking test were performed to investigate the difference in the behaviors of the samples with different parameters considered in this study. The results show that the mechanical performance of hot mix asphalt using TDF fly ash satisfied the quality standard specification of the Ministry of Land, Infrastructure and Transport (MOLIT), Korea. It can be concluded that the use of TDF fly ash as a mineral filler in HMA not only satisfied the mechanical properties, but also reduced the volume of the pollutants waste in the environment.

Respirable Dust Monitoring in Construction Sites and Visualization in Building Information Modeling Using Real-time Sensor Data

Wonho Suh's research was sponsored by NRF-2017R1D1A1A09000606 and the Institute for Information & Communications Technology Promotion (IITP) grant (No. 2017-0-01031) of the Korean government. Young-Joo Lee's research was sponsored by a grant (18SCIP-B138406-03) from the Smart Civil Infrastructure Research Program funded by the Ministry of Land, Infrastructure and Transport (MOLIT) of the Korea government and the Korea Agency for Infrastructure Technology Advancement (KAIA).

2305 - Relationship between Travel Behavior and Body Mass Index – Analysis on Japanese Nationwide Person Trip Survey in 2015

Background Relationships between urban environment, transport infrastructure, travel behavior and physical activity amount / health condition are verified in various literatures. In this study, we analyze relationships between travel behavior and body mass index (BMI) as an objective indicator of health which was corrected through PT survey in 2015 for the first time. Methods In the analysis of this study, we used Japanese national wide PT survey data. The nationwide PT survey were conducted by the Ministry of Land, Infrastructure and Transport (MLIT) about every five years (1987, 1992, 1999, 2005, 2010, and 2015). In the 2015 survey, 70 cities were targeted, with responses from approximately 47,300 households (collected rate 29.2%) for one day travel behavior in autumn, over 5 years old included. In FY 2015 survey, a question of BMI (weight kg / (height m) 2) was newly introduced as a simple health index to analyze the relationship between health and travel behavior. In this study, we tried to grasp the relation between BMI, city type, and travel behavior by using Japanese nationwide PT survey data. Results (i) BMI by commuting modes and gender It was shown that BMI of car commuters for both male and female are significantly higher than those who commute by other mode, namely public transport, bicycle and walking. In female, there was a significant difference also between bike and car. (ii)BMI by annual car driving distance and walkable distance For male, the longer the car's mileage, the higher the BMI. Excluding female drivers with zero driving and those driving over 20 thousand km, BMI tends to be higher as car mileage is longer. Correlation coefficient was significantly positive for both sexes. Also, for both males and females, except for those with a walkable distance up to 100 m, the longer the walkable distance was, the lower the BMI. Conclusions Based on these results, it was revealed that city type, travel behavior and BMI have a significant relationship in Japan. As an analysis with the urban environment, we also analyzes including the average inclination (ratio of sloping land) of the area etc., and the accessibility index of Japan. Those results will also be presented at the conference.

The strategies of advanced local spatial data infrastructure for Seoul Metropolitan Government

ABSTRACTThe LSDI (Local Spatial Data Infrastructure) of SMG (Seoul Metropolitan Government) began from 1996 and it entered the phase 5 in 2017. So far, the LSDI of SMG has been established by the influence of the NSDI (National Spatial Data Infrastructure) of the MOLIT (Ministry of Land, Infrastructure and Transport), which is a ministry of the central government and the ICT (Information & Communication Technology) plan of SMG. SMG is on the way of transforming to a smart city and IT (Information Technology) and services such as Network, Wi-Fi and Big data are in the world class. Even though the ICT infrastructure is excellent, the maturity of the LSDI of SMG is relatively insufficient. The aim of this study is to develop a strategy of advanced LSDI phase 5 of SMG. More strategic approach is required for the long term success and sustainability of the LSDI. For this purpose, with theoretical background of the LSDI, this study reviewed the cases of the USA and Germany on the LSDI assessment and the cost benefit analysis were reviewed. It was followed by the examination of the characteristics of the US local government where the LSDI developed the most, and York of Canada, a winner region of URISA (Urban and Regional Information Systems Association)’s ESIG (Exemplary Systems in Government). This study reviewed the development history, budget, laws and regulations and imminent issues of the LSDI of SMG. With the above cases and analysis, the study proposed 5 strategies for advanced LSDI of SMG which are human resources, organization, cost benefit analysis of the LSDI, governance and systematic LSDI plan development.

Prioritization of the Fixed Automated Spray System Implementation (South Korean Experience)

Fixed Automated Spray Technology (FAST) is one of the proactive solutions to improve traffic safety during the winter. Although only a limited number of FAST is allowable for actual implementation due to various reasons such as budget constraints, this is increasingly being recognized as an active anti-icing practice in South Korea. Thus, a ranking methodology for prioritizing installation locations must be established. Roadway sections requiring FAST on national highways in South Korea were first examined by conducting a survey with many road agencies, and their prioritization was produced by integrating the Analytical Hierarchy Process (AHP) using a scoring table provided by the Ministry of Land, Infrastructure and Transport (MOLIT). The results show a significant difference between priorities obtained from this methodology and those provided by the MOLIT scoring table only, thereby reflecting a more detailed and systematic order of prioritization. The methodology can be applied to pinpoint priority for implementation of other equipment and/or facilities to ensure more effective winter road management.

Inter-ministerial collaboration to utilize CCTV video service operated by U-City center of South Korea

In Global intensifying competition, each government takes an effort to improving public services through between government department. Based on business association between ‘Ministry of Land, Infrastructure and Transport (MOLIT)’ and ‘National Police Agency (NPA)’, this study develop to “CCTV Video provide service” and verify a significance of service. For service realize, this study reviewed the “U-City Center” and “112 emergency call system”. Also through interview within U-City center, MOLIT and NPA, made service functional structure. According to Interview, police can get a detailed information of field, through providing CCTV video which built by local government. So functional structure are based interviewer opinion and GIS. Service development after, for operating test put service at U-City center and Deajeon-si local police agency. Significance of service is verified through user satisfaction survey. Survey result, necessity and satisfaction are recognized good. Also another opinion is that service needed which spreading to other local governments. When this service spread to other local government and police agency, it could provide efficient public service with citizen, based on department collaboration.

Application study of red tide monitoring to desalination plants using chollian (COMS)

AbstractChollian (Communication, Ocean, and Meteorological Satellite (COMS)) is a geostationary satellite developed jointly by the Ministry of Land, Infrastructure, and Transport (MOLIT), the Ministry of Education (MOE), the Korea Communications Commission (KCC), and the Korea Meteorological Administration (KMA). Chollian serves not only as communications and weather satellites but also as a marine observation satellite capable of detecting ocean surface 8 times a day with Geostationary Ocean Color Imager (GOCI). Most of the recent desalination plants use Seawater Reverse Osmosis (SWRO) process, and chlorine cannot be used because the RO membrane in the main SWRO process is made of polyamide (PA). Therefore, it is very vulnerable to biofouling due to the influence of red algae and marine micro-organisms contained in seawater. This study aimed to evaluate the applicability of the “red tide monitoring system” capable of detecting and preventing the influx of red algae adversely affecting operation and maint...

A Study on the Advancement Planning of the Design VE System

The economic efficiency review of design, etc. (hereinafter, Value Engineering (VE)) is the work designed to use the minimum life-cycle cost (LCC) and review the economy and field adjustment feasibility of design contents by function and alternative measure to secure the necessary functions of facilities. To systematically and comprehensively manage the results of the design VE done by ordering agencies and to use such results for performing similar design works, the Ministry of Land, Infrastructure, and Transport (MOLIT) has constructed and is implementing the design VE system based on the Guidelines for the Review of Economy of Design, etc. (hereinafter, VE guidelines). The design VE system, however, is outdated because of the changes that were made in the input and management items when the VE guidelines were amended and because of the inappropriate function improvement since its construction. It currently requires the input of many unnecessary items, and the information is stored chiefly in the form of text, making it inappropriate to utilize the data for designing similar construction projects. This study proposes measures for the update of the design VE system to reflect the amendment of the VE guidelines, to simplify the unnecessary input functions, to boost the search function, and to provide diverse forms of statistics. These proposed update measures are expected to assess the comprehensive analysis of the design VE performance results, to share the design VE information with the ordering agencies and design firms so as to come up with effective alternative measures, to reduce construction project costs, and to improve the quality of construction projects.

국제표준에 기반한 KASS 개발보증레벨 할당

Since 2014, MOLIT (Ministry of Land, Infrastructure, and Transport) is carrying out a KASS project to develop and construct Korean SBAS. KASS can cause damage of human & properties if it has some problem during operation. Therefore, system safety assessment for KASS development is very important. Principal point of system safety assessment is the allocation of DAL(design assurance level) based on the hazard identification and classification. In this parer, the author conducts the allocation of DAL for KASS & its sub-systems based on the international standard(SAE ARP4761), which suggests a best practice of aviation system safety assessment. The result of this paper are the first step of system safety assessment, and can be used for further system safety assessment of KASS project.

Identification of Range Overlaid Echoes Using Polarimetric Radar Measurements Based on a Fuzzy Logic Approach

AbstractThe Ministry of Land, Infrastructure and Transport (MOLIT) of South Korea operates two S-band dual-polarimetric radars, as of 2013, to manage water resources through quantitative rainfall estimations at the surface level. However, the radar measurements suffer from range ambiguity. In this study, an algorithm based on fuzzy logic is developed to identify range overlaid echoes using seven inputs: standard deviations of differential reflectivity SD(ZDR), differential propagation phase SD(ϕDP), correlation coefficient SD(ρHV) and spectrum width SD(συ), mean of ρHV and συ, and difference of ϕDP from the system offset ΔϕDP. An examination of the algorithm’s performance shows that these echoes can be well identified and that echoes strongly affected by second trip are highlighted by high probabilities, over 0.6; echoes weakly affected have probabilities from 0.4 to 0.6; and those with low probabilities, below 0.4, are assigned as echoes without range ambiguity. A quantitative analysis of a limited number of cases using the usual skill scores shows that when the probability of 0.4 is considered as a threshold for identifying the range overlaid echoes, they can be identified with a probability of detection of 90%, a false alarm rate of 6%, and a critical success index of 84%.