PURPOSES : This study is to analyze the reduction effect on road pavement damage from the installation of weigh-in-motion systems used for overloaded vehicle enforcement, from the perspective of traffic assignment. METHODS : Fixed-demand multi-class traffic assignment was conducted by VISUM, a macroscopic traffic simulation software. We considered three vehicle classes and calculated the traffic load for each road link using the ESAL(Equivalent Single Wheel Load) factor, as proposed by ASHTTO(American Association of State Highway and Transportation Officials). We set up scenarios with weigh-in-motion installations in certain sections and observed how the traffic load changed before and after the installation of weigh-in-motion for each scenario. RESULTS : Three main trends were observed. Firstly, at points where weigh-in-motion systems were installed, traffic load significantly decreased even with the influx of cars and trucks following the restriction of overloaded trucks, highlighting the significant influence of overweight vehicles on the traffic load. Secondly, even when overweight vehicles detoured, there was no significant change in the overall network's traffic load. Lastly, the detour of overweight vehicles led to an increase in the total driving distance and time for all vehicles. CONCLUSIONS : Installing weigh-in-motion systems in sections with a lower structure number, which indicates thinner road pavement, can prevent damage in those specific areas without affecting the entire road network.

PURPOSES : In this study, we aim to broaden the understanding of the factors influencing the accuracy of WIM systems for overload enforcement. Particularly, we explored the proportions and causes of secondary influencing factors (driving path, vehicle class, and acceleration), which have been relatively less studied and reduced the accuracy of the WIM system. METHODS : Overload enforcement data were recorded by the WIM system, and enforcement officers were gathered. The ratios of each data point, which are the relative errors, are used to estimate the accuracy of the WIM system. These relative errors were classified into four driving-path groups, four vehicle-class groups, and three acceleration groups. The change in the accuracy of the WIM system caused by each influencing factor was analyzed by comparing the difference in the average relative error between the classified groups. Analysis of variance (ANOVA) and Welch's ANOVA were used to determine significant differences between groups. RESULTS : Vehicles departing from a normal driving path make it difficult for the GVW compensation algorithm of the WIM system to operate properly. For these abnormal paths, the standard deviation of the average GVW relative error was 22%. There was no specific trend in the difference in accuracy by vehicle class. However, we found that the rear axle and retractable axle were the main causes of the reduced GVW accuracy in each vehicle class. The average GVW relative error remained the same regardless of the acceleration, but the average FAW relative error of the accelerated vehicle was approximately 2.5% lower than that of the unaccelerated vehicle. CONCLUSIONS : An abnormal driving path, lifting of a retractable axle, and rapid acceleration (or deceleration) reduce the accuracy of WIM systems. Intelligent transportation systems, such as traffic signals, telematics devices, and applications that induce desirable driving are required for effective overload enforcement. Additionally, it is necessary to smoothen the road pavement to minimize the dynamic effects on the rear axle.

PURPOSES: The aim of this study is to analyze overloading control effectiveness of enforcing overweighted vehicles using HS-WIM (High-Speed Weigh-in-Motion) at main lane of expressway. METHODS: To analyze the weight distribution statistically, HS-WIM system should has an appropriate weighing accuracy. Thus, the weighing accuracy of the two HS-WIM systems was estimated by applying European specifications and ASTM (American Standards for Testing and Materials) for WIM in this study. Based on the results of accuracy test, overweight enforcement system has been operated at main lanes of two expressway routes in order to provide weight informations of overweighted vehicle in real time for enforcement squad. To evaluate the overloading control effectiveness with enforcement, traffic volume and axle loads of trucks for two months at the right after beginning of the enforcement were compared with data set for same periods before the enforcement. RESULTS: As the results of weighing accuracy test, both WIM systems were accepted to the most precise type that can be useful to applicate not only statistical purpose but enforcing on overweight vehicles directly. After the enforcement, the rate of overweighted trucks that weighed over enforcement limits had been decreased by 27% compared with the rate before the enforcement. Especially, the rate of overweighted trucks that weighed over 48 tons had been decreased by 91%. On the other hand, in counterpoint to decrease of the overweighted vehicle, the rate of trucks that weighed under enforcement limits had been increased by 7%. CONCLUSIONS: From the results, it is quite clear that overloading has been controlled since the beginning of the enforcement.

경부고속도로 건설을 기점으로 급격한 경제성장을 이룬 우리나라 고속도로는 현재 신규도로의 건설사업 물량이 둔화되면서 기존의 도로망을 효율적으로 활용하고 최적의 공용성 유지가 필요한 시점이 되었다. 최적의 공용성 확보를 위해 교통하중을 가장 적극적으로 통제하는 방법은 과적단속이다. 본 연구에서는 과적단속의 효율화를 위해 고속축하중측정 시스템을 개발하고 이를 통해 국내 고속도로 과적화물차 행태 분석을 실시하며, 본 시스템을 활용한 과적단속시스템 개발 가능성에 대하여 검토하는 것을 목적으로 하였다. 본 연구에서 개발한 고속축하중측정 시스템은 차로당 2조의 루프센서와 2조의 축중센서, 2조의 원더링센서로 이루어져 있다. 특히 원더링센서는 차량의 좌우 타이어의 위치 판독이 가능하여 과적단속 시스템으로 활용시 차로의 이탈유무를 판독할 수 있으며, 윤거 측정 및 윤형식(단륜/복륜) 구분이 가능하여 차종을 구분함에 있어서 기존 차종분류 시스템보다 세분화된 분류가 가능하여 12종 차종분류시 오분류 비율이 매우 낮은 장점을 가지고 있다. 본 시스템에 대한 검증시험 결과 모든 시험조건의 전체평균오차가 축하중 15% 이내, 총하중 7% 이내로 나타났다. COST-323에서 제시하고 있는 WIM 등급기준에 따르면 사회기반시설 설계와 유지관리 및 평가목적으로 사용가능한 B(10) 등급으로 나타났으며, 과적이 가장 문제되는 5축 카고 화물차에 대한 분석결과는 축중량 오차 8%, 총중량 오차 5%로 단속가능 수준인 A(5)등급으로 나타났다. 고속도로의 차종별 중량분석 결과 12종 분류기준에서 5종, 6종, 7종, 12종 차량이 하중기준을 초과하는 비율이 가장 높게 나타났으며, 주로 가변축을 장착한 차량으로 축조작에 의한 축하중 과적비율이 매우 높게 나타나 이러한 차량에 대한 실효성 있는 과적단속기법이 필요한 것으로 판단된다. 도로교통분야에 있어서 차종별 교통량 자료는 도로의 계획과 건설, 유지관리, 교통류분석 및 도로행정에 필요한 기본 자료이며 각종 연구에 필요한 기초자료로 활용되어지는 필수적인 요소이다.

과적차량은 도로와 교량의 내구성 감소에 가장 큰 위험요소 중 하나여서 지금까지 이런 문제를 제한하기 위해 과적차량에 대한 단속이 실시되어 왔다. 그러나 기존의 시스템은 많은 문제점을 내포하고 있어서 이에 대한 대처방안이 요구되고 있다. 이러한 이유로 본 논문에서는 기존 문제점 해결과 u-ITS의 구축을 위해 무인화, 무선화 기반의 U-중차량 무인과적 단속시스템 구축방안을 제시하며 이를 위해, 시스템 구성방법, USN의 적용, 시스템 제어부와 WCDMA/HSDPA의 설계에 대해 연구하고 WIM 센서의 성능에 대해 검증하였다.