Earticle

본 연구에서는 국내 과적차량 단속 대상에서 제외된 소형트럭에 대한 과적 운행 여부를 파 악하기 위하여 국도 3개 지점에서 소형트럭의 교통량과 중량 자료를 수집하였다. 그리고 이를 차종별, 요일별, 시간대별로 구분하여 차량 총중량별 과적 분포를 분석하였다. 차종별 분석 결과, 평균적으로 1.5톤 이하 트럭은 6.2%, 2.5톤 이하 트럭은 31.7%, 그리고 3.5톤 이하 트럭은 13.7%의 과적비율로 나타났다. 그리고 동일한 차종에 대하여 수집 지점별로 차이가 나타났고, 소형트럭의 총중량 무게가 적을수록 과적 비율이 높게 나타났다. 요일별 분 석 결과, 특정요일에 과적비율이 높게 나타나는 경향은 없었으나 각 지점별로 요일별 예측 가 능한 발생 패턴이 있는 것으로 보였다. 그리고 시간대별 분석 결과 모든 지점에서 점심시간 이후 시간(13:00~15:59)대에 과적차량의 비율이 평균적으로 가장 높은 것으로 파악되었다.

In this study, data on traffic volume and weight of small trucks were collected from three National Highways to identify the overload status of small trucks excluded from domestic overloaded vehicle enforcement. These data were classified according to the vehicle type, day of the week, and time of day to analyze the overload distributions by the vehicle total weight. From the analysis results by vehicle type, on average, the overload ratios for trucks of 1.5 tons or less, 2.5 tons or less, 3.5 tons or less were 6.2%, 31.7%, and 13.7%, respectively. In addition, for the same vehicle model, there was a difference by collection point, and the smaller the total weight of the small truck, the higher the overload ratio. From the results according to the day of the week, there was no tendency for the overload ratio to appear high on a specific day, but there was a predictable occurrence pattern at each site. In addition, from the results by the time of day, the overload ratio was the highest on average after lunch (13:00–15:59) at all sites.

화물차량의 과적은 도로 포장의 파손 및 교량 등 도로구조물의 파괴, 대형 교통사고 발생 등의 주요한 원인 중 하나로서 오랜 시간동안 도로 교통 분야에서 중요한 연구분야였다. 본 연구에서는 과적 문제 해결을 위해 급속도로 발전하는 IT 및 빅데이터 활용기술을 접목하여 화물차량의 과적운행패턴 분석 및 차체부착중량계중시스템를 활용한 과적예방 효과를 분석하 였다. 이를 위해 기존 화물차량과적 관련 문헌 조사와 상용 차체부착중량계중시스템 기술 조 사를 진행하였으며, 과적적발 정보 분석을 통해서 대표적인 과적차량의 유형을 선정하였다. 과 적유형에 맞는 차량을 10대 선정, 차체부착중량계중시스템을 설치함으로써 화물차량의 정보 를 실시간으로 모니터링하여 연구 데이터를 수집하였다. 화물차량의 축중량과 총중량 데이터 는 상하차 작업횟수 대비 과적비율 등으로 분석하였으며, 차체부착중량계중시스템 유무에 따 른 그 변화추이를 확인하여 차체부착중량계중시스템 적용의 과적예방효과를 확인할 수 있었 다. 다만, 시험차량 표본수가 전체를 대표할 수 있을 정도로 충분하지 못하기 때문에 향후 확대 시험을 통해서 추가적인 연구가 가능할 것으로 판단된다.

Overloading of Commercial vehicles have been an important area of transportation as one of the main causes of pavement damage, bridge collapse, severe traffic accident, etc. In this study, we analyzed the effects of overweight prevention by analyzing overweight driving patterns and using weight sensors. First, we analyzed relevant literatures of overweight and surveyed the commercial weight sensors. Then we chose the typical type of overweight vehicles based of overweight enforcement data analysis. MEMs inclinometer weight sensor were installed to 10 test vehicles and data was collected by weight sensors and gps in real time. As a result of gross vehicle weight and axle weight analysis, it was found weight sensor could decrease overweight rate. However, since the number of samples of test vehicles is insufficient to represent the whole commercial vehicle, further studies are deemed possible through the extension test.

과적차량은 도로 주행환경의 안전을 위협하고 도로구조물의 수명단축에 직접적인 영향을 주는 주요 원인이다. 자중계는 화물차량에 탑재하여 중량을 측정할 수 있는 유일한 장비로, 운 전자는 스스로 과적상태를 확인하고 운행 전 상차 시 적재중량을 조절하여 과적을 사전에 예 방할 수 있다. 본 연구에서는 과적 적재물 중 골재 및 토사가 전체의 36.55%로 주요 과적적재 물로 나타나 이를 주로 운송하는 30대의 건설폐기물 수집･운반차량을 선정하였으며, 자중계의 시범설치 및 원격 모니터링을 수행하여 운행데이터를 수집하였다. 운전자에게 중량을 인지할 수 있는 중량표시 앱을 배포하기 전 1달과 배포한 후 1달 동안 운행데이터를 비교하여 과적 예방효과를 분석하였다. 자중계로부터 제공받은 적재중량을 인지함으로써 과적운행이 6.1%가 감소한 것을 확인하였으며, 운송량을 극대화하면서 단속을 우려하여 원거리로 우회 주행을 할 필요가 없어 운송거리와 시간이 줄어 운송 효율이 높아진 것을 확인하였다.

Overloaded trucks are the main source that threatens road safety and directly affects the reduction of pavement life. The On-board truck scale is the only equipment that could prevent overloading by measuring and adjusting the loading weight before driving. Legislation is needed to encourage its installation so that the driver can prevent overloading. In this study, an on-board truck scale system was installed on 30 dump trucks for transporting construction waste, such as soil and aggregates, which are major loads of 36.55% for overloading, and the trucks were monitored remotely. The overload prevention effect was analyzed by comparing driving data for 1 month before distribution of the weight display app that can recognize the weight to the driver and 1 month after distribution. After installation, overloading could be 6.1% reduced, and the transportation efficiency could be increased by checking the weight provided from the On-board truck scale system.

고속축중기는 통행 흐름의 통제나 속도의 감속 없이 주행 중인 화물차량의 중량을 실시간 무인 검측하는 시스템으로, 국내에서는 축 조작 행위방지 및 주행 중 과적행위 적발을 위해 주 로 고속국도 및 일반국도 본선에 설치하여 이동단속반 검차를 위한 사전선별용으로 활용된다. 본 연구에서는 고속축중기의 중량 측정정확도를 법정 기준까지 향상시키고자 기존 적분형 및 첨두형 중량환산 알고리즘에 대한 분석을 통해 개선사항을 제시하고, 매트타입형 고속축중기에 적용할 수 있는 새로운 융합형 알고리즘을 고안하였다. 이 알고리즘을 적용하여 현장 실차 주행 시험을 통한 정확도 향상 효과를 분석한 결과, 최상급의 정확도 등급을 확인할 수 있었다.

High-speed weigh in motion (HS-WIM) is a real-time unmanned system for measuring the weight of a freight-carrying vehicle while it is in motion without controlling vehicle traffic flow or deceleration. In Korea, HS-WIM systems are installed on the national highways and general national ways for pre-selection by law enforcement. In this study, to improve the measurement accuracy of HS-WIM, we devise improvements to the existing integral and peak weight conversion algorithms, and we provide a new fusion algorithm that can be applied to the mat-type HS-WIM. As a result of analyzing vehicle driving tests at a real site, we confirmed the highest level of weight-measuring accuracy.

자중계는 화물차 운전자들이 자신의 화물무게를 인지하지 못해서 생기는 부득이한 과적을 방지하기 위해서 반드시 필요한 기술이다. 본 연구에서는 자중계의 일본의 의무장착 사례와 국내 활용현황에 대하여 조사하고 자중계와 GPS, 모뎀을 연동한 IoT 관제시스템을 시험차량에 설치한 후 원격 모니터링을 통해 과적운행패턴을 규명하고, 자중계 설치 시 과적 예방효과와 운송 효율성에 대하여 분석하고자 하였다. 장기 모니터링 데이터를 분석한 결과, 자중계 설치 후 운전자가 화물중량을 인지함으로써 과적율과 과적 중량이 감소되는 효과를 확인하였으며, 건설기계 차량의 경우 운송거리 단축에 의한 운송효율이 높아지는 결과를 확인하였다. 또한 단속지점의 GPS 좌표와 화물차량의 이동경로를 매칭하여 과적상태인 경우 회피 운행경로를 분석하였으며, 적재물의 종류에 따른 운행거리와 적재중량을 분석하였다.

An on-board truck scale is an essential technical solution for preventing overload, which makes the driver aware of the commercial vehicle weight. This study analyzed the effects of the driving pattern and transportation efficiency by the IoT Platform service for an on-board truck scale. A comparison of before and after installation using the long-term monitored data confirmed the reduction effects both of the overload ratio and overweight value, and their effects on increasing the transportation efficiency. In addition, the analysis result of the driving route showed that the installation of an on-board truck scale could be a more effective way of preventing overload than increasing the weighing checkpoints.

The main problem of wireless sensor network is congestion occur due to buffer-overloading. Due to this issue, the performances of the network such as network throughput and packet loss are affected. To reduce the buffer-overloading from the WSN a comparative study has been done between AODV and QAODV using queue length buffer-overloading equation. In this paper, we proposed QAODV using queue length buffer-overloading equation through which major cause of congestion, buffer-overloading is reduced from the network.

The incidence of type 2 diabetes mellitus and insulin resistance is growing rapidly. Multiple organs including the liver, skeletal muscle and adipose tissue control insulin sensitivity coordinately, but the mechanism of skeletal muscle insulin resistance has not yet been fully elucidated. However, there is a growing body of evidence that lipotoxicity induced by mitochondrial dysfunction in skeletal muscle is an important mediator of insulin resistance. However, some recent findings suggest that skeletal mitochondrial dysfunction generated by genetic manipulation is not always correlated with insulin resistance in animal models. A high fat diet can provoke insulin resistance despite a coordinate increase in skeletal muscle mitochondria, which implies that mitochondrial dysfunction is not mandatory in insulin resistance. Furthermore, incomplete fatty acid oxidation by excessive nutrition supply compared to mitochondrial demand can induce insulin resistance without preceding impairment of mitochondrial function. Taken together we suggested that skeletal muscle mitochondrial overloading, not mitochondrial dysfunction, plays a pivotal role in insulin resistance.

In designing System Protection Schemes (SPSs) in power systems, protecting transmission network against extreme undesired conditions becomes a significant challenge in mitigating the transmission line overloading. This paper presents an intelligent Special Protection and Control Scheme (SPCS) using of Differential Evolution with Adaptive Mutation (DEAM) approach to obtain the optimum generation rescheduling to solve the transmission line overloading problem in system contingency conditions. DEAM algorithm employs the attraction-repulsion idea that is applied in the electromagnetism-like algorithm to support the mutation process of the conventional Differential Evolution (DE) algorithm. Different N-1 contingency conditions under base and increase load demand are considered in this paper. Simulation results have been compared with those acquired from Genetic Algorithm (GA) application. Minimum severity index has been considered as the objective function. The final results show that the presented DEAM method offers better performance than GA in terms of faster convergence and less generation fuel cost. IEEE 30-bus test system has been used to prove the effectiveness and robustness of the proposed algorithm.

Brain natriuretic peptide (BNP), a neurohormone secreted from the ventricular myocardium in response to hemodynamic load/wall stress, in congestive heart failure (CHF). This study was performed to evaluate the correlation between BNP level and clinical presentations and hemodynamic parameters obtained by echo-Doppler (echo-Doppler) analysis, and its relation with disease severity and ventricular load/wall stress. CHF patients (n=246) were subgrouped by clinical presentations and echo-Doppler findings into 4 groups: diastolic HF only, chronic HF, acute HF, and chronic HF with acute exacerbation. A BNP level of 81.2 pg/ml showed a sensitivity/ specificity of 53.3%/98.4% for detecting CHF (AUC, 0.882; p<0.0001), and was found to be closely related with the NYHA classification (p<0.0001). Log BNP was related with LVEF (r2=0.3015, p<0.0001) and the Meridional wall stress index (r2=0.4052, p<0.0001). The difference between the BNP levels of the subgroups and BNP control was significant (p<0.0001), exept between the HF group and the controls; control (n=114, 20.9±31.4pg/ml), only diastolic HF (n=84, 89.8±117.6pg/ml), chronic HF (n=60, 208.2±210.2pg/ml), acute HF (n=28, 477.9±498.4 pg/ml), chronic HF with acute exacerbation (n= 74, 754.1±419.2pg/ml). The BNP level was significantly higher in the only diastolic HF group than in the asymptomatic control group with diastolic dysfunction (89.8±12.8 vs. 22.8±5.1pg/ml, p<0.0001). BNP may be a good indicator for the differential diagnosis of a broad spectrum of heart failures. And, elevated BNP might help to diagnose diastolic HF in patients with diastolic dysfunction.

Power supplying capacity of the distribution feeder should be maintained within thermal capacity of the wire. This paper presents the minimum spanning tree based load balancing technique to release multiple overloading of distribution feeders. In order to minimize number of involved backup feeders, Dijkstra and Prim algorithm are adopted to construct minimum spanning tree. Simulation testing result based on part of KEPCO's commercial distribution systems shows effectiveness of proposed scheme.

Ships and ocean structures are subjected to random loads caused by irregular waves. The irregularity of amplitude from random loading affects on fatigue crack growth and fatigue life. However the effects of irregularity of loading on fatigue including random loading have not been explained exactly. Therefore in this paper crack growth tests on DENT specimens under constant-amplitude loading including a single tensile overload are conducted to investigate the effect of overload on crack growth rate. The size of plastic zone and crack growth rate before and after a single tensile overloading are measured using ESPI system. Crack growth retardation model that is characterized by crack growth length and the size of plastic zone was proposed and compared with test result. From the research, the validity of proposed model is examined on crack growth retardation, and consequently fatigue life.

도로 과적 차량은 일반 승용차보다 도로를 많이 훼손하여 도로, 교량의 사용 수명을 단축시키고, 유지보수 비용을 상승시키는 원인으로 분석되고 있다. 또한 과적 화물차량은 정상차량에 비해 도로 주행 흐름을 상대적으로 떨어뜨려, 도로 용량을 저하시키며, 소음과 진동의 발생, 배기가스 배출 등 여러 가지 문제를 발생시키는 원인이다. 특히, 도심지에서의 화물차 운행은 선진적인 단속체계가 더욱 필요하다. 현재의 단속시스템은 단속인력과 계측장비를 설치한 고정식의 과적 검문소를 운영하거나 이동식의 단속 검문을 병행하는 방식이다. 그러나 도심지의 경우, 교통정체, 고정식 검문소의 부지 확보 등 현실적으로 단속업무를 실시하기 어려운 환경이다. 본 논문에서는 현재 운영하는 고정식의 단속시스템을 자동 단속시스템으로 전환시키기 위한 기술적 구성 방안에 대해서 검토하였다.

Effects of strain hardening exponents on the retardation behavior of fatigue crack propagation are experimentally investigated. The retardation of fatigue crack propagation seems to be induced by the crack closure at crack tip. The phenomenon of crack closure becomes remarkable with the increment of strain hardening exponent and magnitude of percent peak load. The ratio of crack growth increment(a$\_$d//w$\_$d/) is influenced by a single overloading (a$\_$d/) and estimated plastic zone size (W$\_$d/=2r$\_$y/) is increased according with the increasing of strain ha.dening exponents. The number of retarded crack growth cycles were (N$\_$d/) decreased as the baseline stress intensity factor .ange( K$\_$b/) was increased. Within the limitation of these experimental results obtained under the single overload, an empirical relation between crack retardation ratio (Nd/N＊), strain hardening exponent (n) and percent peak load (％PL) has been proposed as; Nd/N＊＝ exp [PL $.$ PL$.$A(n)＋B(n) ] where, A(n)＝${\alpha}$n＋${\beta}$, B(n)＝${\gamma}$n＋$\delta$, PL＝％PL/100 and ${\alpha}$＝0.78, ${\beta}$＝0.54, ${\gamma}$＝0.58 and $\delta$＝-0.01, It is interesting to note that all these constants are identical for materials such as aluminum(A3203), steel(S4SC), steel(SS41) and stainless steel(SUS316) used in this experimental study.

PURPOSES : This study aimed to evaluate the influence of weigh-in-motion (WIM)-based overloading enforcement systems on the performance of a traffic stream. METHODS : A VISSIM simulator was used for the evaluation of various scenarios. Actual WIM event data collected from the field was used for simulation parameter calibrations. A genetic algorithm was incorporated into the calibration procedure to identify the optimal set of parameters. The impact of the overloading enforcement systems on the traffic stream was investigated from the perspective of mobility, safety, and environmental compatibility. RESULTS:The existing enforcement system is generally superior to the new pilot enforcement system. CONCLUSIONS : Policies and regulations to fully exploit the benefits of WIM-based enforcement systems on freeways need to be developed and implemented. In addition, various enforcement scenarios should be tested on both actual and simulated environments.