This study examines the spatial correspondence between traffic accident risk and automated traffic enforcement equipment allocation at the legal-dong level in Seoul, South Korea. Using 467 legal-dong areas, accident risk was measured by adjusting the accident risk index (ARI) for the cumulative de facto population and by applying empirical Bayes smoothing. The equipment allocation was measured using a log-transformed resource allocation rate that accounts for the number of intersections. Standardized risk and resource indicators were used to classify spatial correspondence types, and exploratory candidate areas were identified using global Moran’s I, univariate LISA, bivariate LISA, FDR correction, and stability analyses. The results show that 105 legal-dong areas, accounting for 22.5% of the study area, were classified as high-risk low-resource areas. The global Moran’s I measure indicated a significant positive spatial autocorrelation for both accident risk and enforcement resource allocation, whereas the bivariate Moran’s I was not statistically significant. Under the nominal criterion of p < 0.05, 23 univariate high-high accident-risk clusters and 30 bivariate high-low patterns were identified. However, after FDR correction, no univariate high-high clusters remained significant, although two bivariate high-low patterns remained. Because the combined candidate definition requires a univariate high-high condition, no areas satisfied the combined FDR-adjusted candidate criteria. Under the nominal criterion, 18 baseline, four reinforced, and four strict exploratory candidate areas were identified, and 16 of the 18 nominal baseline candidates reappeared in at least three of the six analytical scenarios. Accordingly, nominal candidate results should be interpreted as exploratory screening results rather than as statistically confirmed priority areas under the combined criteria. The proposed framework can provide supporting information for subsequent field investigations and policy reviews. However, the results should not be interpreted as direct evidence for immediate equipment installation.

Crash risk in metropolitan areas arises from the interaction among driver behavior, enforcement infrastructure, and urban environmental conditions; however, microspatial evidence remains scarce. This study examines the effects of automated speed-enforcement cameras on the crash risk in Seoul at the legal-dong level using the accident risk index, which accounts for both crash frequency and injury severity. The dataset combines crash records, enforcement infrastructure, school-zone information, demographic indicators, and land-use characteristics. Methodologically, a Bayesian negative binomial regression model was employed to address overdispersed crash data, whereas gradient-boosting machine and eXtreme Gradient Boosting models with SHAP interpretations were applied to capture nonlinear effects, heterogeneity, and variable interactions. The results reveal that the crash risk is spatially concentrated, with a small proportion of districts contributing disproportionately to the overall exposure. Regression analysis highlights enforcement and behavioral factors as significant predictors, whereas machine-learning models emphasize the added importance of structural and demographic characteristics, such as road area and floating population. This divergence reflects the sensitivity of the regression to collinearity and linearity assumptions in contrast to the flexibility of tree-based methods in uncovering nonlinear and context-dependent influences. In general, the findings reflect the value of integrating statistical and machine-learning approaches for a more comprehensive understanding of crash risk at the microspatial scale. This study advances the methodological diversity in traffic-safety research and provides practical evidence that cameradeployment strategies should be context sensitive while targeting areas with concentrated risks and distinct structural and demographic profiles.

This study aims to develop an autonomous driving-based system for the automatic monitoring and enforcement of illegal parking in urban areas. The system is built on a small, four-wheel-drive autonomous robot that navigates by recognizing road-edge lines. Using line sensors mounted on its underside, the robot detects lane markings and controls its steering mechanism to perform smooth, vehicle-like turns, allowing for natural, curved path adjustments instead of abrupt right-angle rotations. In addition, the system integrates ultrasonic sensors for obstacle avoidance and an ESP32-CAM-based camera module for license plate recognition, enabling real-time detection of illegally parked vehicles. The detected information is transmitted to a server for recording and further response, thereby overcoming the limitations of conventional manpower-based enforcement and contributing to a more efficient and sustainable urban traffic management system.

산업현장에서 소음이 작업자의 건강과 안전에 중대한 문제로 대두되고 있는 가운데, 특히 단속음은 간헐적이고 불규칙한 소음으로 반복적인 음압 변화를 유발하여, 청각뿐만 아니라 생리적·심리적 건강에도 악영향을 미치고 있다. 본 연구는 산업현장에서 자주 접하는 단속음 이 인간의 생리적 스트레스 반응에 어떠한 영향을 미치는지를 규명하고자 하였다. 실험은 무소음 상태를 기준으로 75 dB, 80 dB, 85 dB의 단속음 조건에서 수행되었으며, 뇌파 (Electoencephalography, 이하 EEG) 측정을 통해 스트레스 반응을 정량적으로 분석하였다. 주요 분석 지표는 RA(Relative Alpha), RAB(Relative Alpha to Beta), RHB(Relative High Beta)로 설정하였다. 실험 결과, 단속음의 강도가 높아질수록 RA는 0.42에서 0.16으로, RAB는 7.05에서 1.40으로 각각 약 62%, 80% 감소하였고, RHB는 0.13에서 0.17로 약 31% 증가하는 경향을 보였다. 이러한 결과는 고강도 단속음이 신경계 안정성을 저해하고 스트레스 반응을 유의미하게 증가시킴을 시사한다. 본 연구는 ESG 경영 차원에서 산업현장의 건강친화적 소음 관리의 중요성을 강조하며, 소음 저감 정책 수립의 과학적 근거를 제공한다.

This study evaluated the safety impact of automated traffic enforcement cameras targeting tailgating behavior at signalized intersections by comparing traffic conditions shortly after installation and one year later. The Kukkiwon intersection in Gangnam-gu, Seoul, South Korea was selected as the study site. Individual vehicle speeds, accelerations, and subsequent distances were extracted from video data using YOLOv8 and ByteTrack, which are advanced deep learning-based object detection and tracking algorithms. Surrogate safety measures (SSM), such as time to collision (TTC), modified time to collision (MTTC), and proportion of stopping distance (PSD), were calculated to assess changes in traffic safety. Every SSM indicated an improvement one year after the installation of enforcement cameras, suggesting a reduction in collision risks. In particular, the PSD indicator showed a notable improvement, reflecting a better maintenance of safe following distances. These results highlight the effectiveness of automated enforcement in improving intersection safety and suggest its scalability to other intersections with similar tail-gating issues. Future research should explore the long-term and multisite effects using diverse intersection types and behavioral indicators.

선박을 통해 유입되는 마약의 단속 건수와 사례는 그리 많다고 하진 않을 것 이나, 단 한 번의 운반으로도 상당한 양의 마약이 유통될 수 있어 막대한 사회· 경제적 파급력을 초래할 수 있다. 통상 선박을 통해 유입되는 마약의 단속은 마약을 운반 중이라는 혐의가 있 다는 첩보 아래 당해 선박이 우리나라의 영해에 진입한 경우에 관할권을 행사 함으로써 행해진다. 그러나 선박을 통한 마약 운송이 지능화됨에 따라 이른바 ‘던지기 수법’이라는 해상에서 연안국의 관할권이 닿지 않는 영해 이원의 해상 에 마약류를 띄워놓고 거래자가 수거하는 방식이 발생하고 있으며, 이 같은 방 식은 특히 대한해협과 같이 영해 폭이 좁은 공간에서 사용될 여지가 있다. 이같이 지능화되는 해상 마약 거래를 차단하기 위해선, 국제사회와의 적극적 협력을 통해 외국선박에 대한 임검 등이 효과적으로 시행될 수 있어야 하며, 동시에 선주와 선원 등 선박 관계자의 세심한 주의가 필요하다. 그러나 외국선 박의 단속에 관한 국제법은 특히 단속 절차적 측면에서 특별한 요건을 요구하 고 있다. 따라서 해상 마약 단속에 관한 법률의 검토와 개선이 필요하며, 국내 법의 개선에는 국제법적인 고려가 선행되어야 한다. 미국의 경우 국제법을 고려함과 동시에 다소 도발적으로, 혹은 선진적으로 보이는 방법으로 국내법을 정비하여 마약 단속을 위해 노력 중이다. 이에 이 논문은 현행 마약 단속에 관한 국제법의 검토와 함께, 미국의 실행 에서 시사점을 도출하여 국내법적 개선 방안을 제시하고자 하였다. 연구 결과, 국제법상 국가의 관할권(보호주의적 관할권)을 적극적으로 활용 하고, 마약 혐의를 받는 선주와 선박이 취해야 할 행동을 강제화하고, 추가로 외교적 노력을 통해 적극적인 마약 단속을 수행할 방안을 제시하였다.

PURPOSES : As the number of fixed traffic enforcement equipments increase rapidly, it is necessary to improve efficient operation and management plans. The aim of this study is to evaluate the factors influencing fixed traffic enforcement equipment failure. METHODS : This study utilized binary logistic regression analysis using the database provided by the Korean Road Traffic Authority to evaluate the factors affecting the failure of fixed traffic enforcement equipment. RESULTS : As a result of the evaluation of this study, the main factors affecting failure were red-light camera, old equipment, Jeju, National expressways, and equipment with low speed limits. CONCLUSIONS : This study can be used as basic data on the improvement of operation management plas for maintenance of traffic enforcement equipment. Through this study, it will be possible to establish a step-by-step plan with high efficiency comapared to the input of required manpower.

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.

본 연구에서는 동태성과 시간을 고려한 시스템다이내믹스 관점에서 낚시어선의 낚시활동에 있어서 단속 및 처벌의 강화(정책 개입)에 따라 시스템 구조가 어떻게 변화하는지 알아보고 그에 따른 전략수립 방향을 논의하고자 한다. 지금까지 낚시어선의 단속과 처 벌은 사고예방이라는 사전적 차원에서 일시적 단기적으로 단속을 실시하고 처벌을 부과했다. 그러나 변칙적이고 다양한 부작용으로 소기 의 성과를 거두지 못하였고, 안전사고는 끊임없이 발생하고 또 다시 후속조치가 뒤따라가는 형국을 보이고 있다. 본 연구의 결과에 따르 면, 낚시어선의 단속과 처벌이 강화된 안전기준으로 사고 예방을 위한 시설 장비 산업 등 관련 사항 개선 및 기술개발(시간지연 발생)보다 는 즉각적이고 큰 저항이 없는 음성적(불법적) 활동을 지속함에 따라 사고예방을 위한 안전사각지대를 최소화하지 못하고 있다. 이와같이 동태적 매커니즘과 시간이라는 변수를 충분히 고려하지 않고 단선적 사고에 입각한 정책개입으로는 정책이 추구하는 기본적 가치를 오 히려 왜곡시킬 수 있다. 낚시어선의 단속과 처벌에 있어서 강화된 안전기준의 마련에 앞서 관련 기술의 개선 및 개발, 낚시인 낚시산업체 관련기관 등 다양한 주체들에 대한 교육시간 의무화, 낚시관련 산업 육성을 위한 낚시 관리 및 육성법의 구체적인 방안 제시와 같은 매커 니즘을 보완하는 전략을 마련해야 한다.

자동차 음주운전의 경우에는 그 위험성에 대한 사회일반의 경각심이 고조되고 있으며, 이에 따라 점차 감소하는 추세를 보이고 있다. 이에 반하여 선박의 음주운항은 선상의 음주에 관대한 오랜 관습, 음주여부 확인의 현실적인 어려움 등에 따라 줄어들지 않고 있는 상황이다. 2019년 러시아 선적 화물선 시그랜드호가 음주운항 중 광안대교와 충돌하는 사건을 비롯하여 국내에서 선박 등의 음주운항을 한 사실의 적발 및 음주 운항으로 인한 해상사고가 지속적으로 발생하고 있다. 위 사건 등의 영향으로 ｢해사안전법｣이 개정되기도 하였으나, 동법 외에도 다수의 법령에 단속 근거, 음주운항 판단기준 및 처벌기준이 분산 되어 있다는 문제점을 지적할 만하다. 나아가 단속절차에 관해서도 ｢해사안전법｣, ｢경찰관직무집행법｣ 외에도 ｢해양경비법｣ 등이 적용된다 하 겠으나 제정목적 상의 일부 차이가 있으며, 단속절차에 관하여 규율이 미진한 부분이 존재하는 등의 한계가 있다. 이에 관해서는 단속 상대방의 권익보호를 위해서 절차보장이 필요하다고 본다. 나아가 철도･항공과 같은 출발 전 사전음주여부 등에 관한 측정하도록 하는 제도의 도입될 필요성이 있고, 음주사실 확인시 선박의 예인 또는 긴급시 해양경찰청 경찰공무원에 의한 대리운항 등을 허용하여야 할 것으로 생각된다. 이와 같은 사후조치 과정에서의 사고 등으로 인하여 해양경찰공무원 등이 개인적인 손해배상 책임을 면할 수 있는 특례규정을 두는 방안 등도 검토하여야 할 것으로 생각한다.

PURPOSES : Arterial work zones, particularly at signalized intersections, have several characteristics and effects different from freeways. This paper presents three significant work zone effects on signalized intersections: (1) saturation headway change (saturation flow rate change), (2) green time (g/C ratio) change, and (3) progression speed degradation impacts on bandwidth performance. METHODS : Both saturation flow rate reduction and g/C reduction were selected as the work zone impact variables for a signalized intersection, while bandwidth capacity reduction was chosen to measure the impact of work zones on arterials. The authors established a statistical model and normalized g/C table to estimate saturation headways and the g/C ratio at signalized intersection work zones based on the work intensity, pavement condition, ledge presence, turn percentages from shared lanes, and number of closed exclusive turn lanes. In addition, the dynamic bandwidth capacity and bandwidth solution space change based on the progression speed were introduced in this study. RESULTS : A normalized g/C ratio distribution was developed to estimate both the non-work zone and work zone g/C ratios under different work zone configurations. The results of the estimated work zone capacity using the work zone saturation headway model and the g/C ratio distribution showed that the estimated capacity reduction ranged from 32.78%~2.93%. In addition, arterial dynamic bandwidth and its capacity were both critically influenced by the progression speed. CONCLUSIONS : The proposed model and method will help practitioners understand the factors that cause a decrease in the saturation flow rate and g/C and influence progression quality on the urban arterial street due to work zones. Moreover, the proposed model and method can guide the calibration of simulation tools to properly represent the resulting capacity effects of work zones on arterial streets.

PURPOSES : Many people recommend the expansion of the drone market and various ways of using drones. However, unreasonable expansion may cause various social problems. Therefore, criteria and systems for the expansion are required. This paper presents a review of the system using drones for managing and enforcing illegal parking, and recommendations on improvement. METHODS : This paper presents a review of the system using drones for managing and enforcing illegal parking, and recommendations on improvement. RESULTS : This study shows that new enforcement criteria are required for a new enforcement method using drones. In addition, consignment operation is needed to solve workforce shortage and secure expertise, and flight mitigation criteria are required, considering the illegal parking characteristics based on region and time. Finally, CCTV operation guidelines should be improved to clarify the definition of drone images and prevent unreasonable information collection. CONCLUSIONS : Illegal parking enforcement using drones is an efficient method that is highly feasible and solves enforcement limitation issues, such as the lack of workforce and equipment. A prior institutional review is required to apply new technologies more efficiently, and proposals on improving the legal systems with limitations are required through continuous research.

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.

The push-out tests have been conducted on the specimens which consist of the steel beam with U-shape section and the cap-type shear connectors with constant intervals. Existing equations for the evaluation of shear connector strength have been investigated on the basis of test results. The reinforcing bars for longitudinal reinforcement and the penetrative bars for transverse reinforcement didn’t have much effect on the shear capacity of the cap-type shear connector. The larger the width of cap-type shear connector was profiled, the greater the shear strength turned. The shear capacities of cap-type shear connectors with constant intervals were evaluated on the basis of push-out test results, and those were possible to be determined with proper safety margin using the Eurocode 4. The slip capacity of cap-type shear connector was shown to exceed the limit value of 6mm for sufficiently ductile behavior.