PURPOSES : This study defines private and public service providers connected to a public data hub in a smart city and examines the information that should be exchanged between them. The information exchange scheme covers data exchange at a minimum level. METHODS : First, we reviewed the entities participating in the emergency charging service and designed the scope of information linkages between the entities. Second, we diagnosed the main information linkages according to a service flowchart. Third, we reviewed the basic information requirements linked to actors participating in the service. Finally, we derived and presented information linked to the subjects. RESULTS : In addition to the basic requirements, the number of data-exchange information sets specified was four, which was the scope of the aforementioned study. We defined and analyzed an efficient information exchange system between various actors involved in emergency charging services. Data were defined based on interactions between service users, operators, providers, and data hubs. Each set had a different scope and purpose. CONCLUSIONS : Information collected and provided by emergency charging service providers in connection with a data hub that manages urban energy was proposed.

PURPOSES : The effect of yellow carpet visibility enhancement was verified and its impact on traffic safety for effective introduction of traffic safety facilities was studied. METHODS : There is currently no scientific evidence demonstrating that yellow carpets improve pedestrian awareness. In this study, the effect of increasing visibility caused by the installation of yellow carpet was verified, and the effect of improving the level of traffic safety was examined through an objective analysis. A drone was used to collect and analyze video data to compare the driving speeds of vehicles passing near yellow carpets at six different sites and diagnose the effects of speed reduction. RESULTS : The results showed that the visibility improvement values before and after the installation of the yellow carpet differed from place to place, but a visibility improvement effect existed in certain cases. In terms of the adequacy of the installation site, the yellow carpet had no deceleration effect on vehicles driving on signalized local streets and collector highways. It was found that there was a speed reduction effect on unsignalized local streets. CONCLUSIONS : To enhance traffic safety promotion, yellow carpets should be placed on unsignalized local streets. It is important to place the yellow carpet in the right place in a proper manner.

우리나라에서는 「모빌리티 혁신 및 활성화 지원에 관한 법률」을 제정하여 전국적으로 첨단모빌리티 사업을 활성화할 수 있는 틀 을 마련하였다. 그러나 모빌리티혁신법 내 첨단모빌리티 수단이 이용하는 친화적 도로설계에 대한 가이드라인이 부재한 상황이다. 본 연구에서는 모빌리티혁신법 내 제9조 ‘첨단모빌리티 친화적 도로환경 조성’의 원활한 사업 시행을 위해 디지털 인프라를 중심으로 가 이드라인을 제안한다. 친화적 도로를 이용하는 첨단모빌리티 도로 대상을 선정한 후 이를 토대로 요구되는 디지털 인프라를 고려하였 다. 디지털 인프라는 도로에 대한 정보를 디지털화 하는 것을 목적으로 설정하여 ① 디지털 도로, ②디지털 관리, ③디지털 트윈 3가 지로 구분지어 가이드라인을 제시하였다. 이는 지방자치단체에서 첨단모빌리티 사업 시행 시 필수적으로 고려해야 할 인프라를 검토 할 수 있을 것이다

우리나라는 교통사고 사망자수 감축을 위해 다양한 교통안전 개선사업을 지속적으로 추진하고 있다. 특히, 보행자 안전 강화를 위한 보행환경개선사업은 중앙정부 및 지방정부를 중심으로 시설, 제도, 교육ž홍보 등 다양한 방법으로 수행되고 있다. 최근 횡단보도 보행자 안전 강화를 위한 시설 개선 사례로 활주로형 횡단보도가 설치ž운영되고 있다. 활주로형 횡단보도는 야간에 운전자 시인성을 증진하고 보행자의 안전성을 확보하는 시설물이다. 그러나 신규로 설치되는 활주로형 횡단보도의 정량적인 보행안전 개선 효과에 대한 연구는 부 족하다. 본 연구에서는 보행환경개선사업을 통해 읍․면지역에 신규 설치되는 활주로형 횡단보도의 효과를 시설물 접근로 진입 차량 평 균 주행 속도 조사를 통해 분석하였다. 총 8개 지점의 활주로형 횡단보도를 대상으로 접근로 진입 차량 평균 주행 속도를 조사하였으 며, 평균 속도 감소율은 15.3%이고, 속도 최대 감소율은 27.4%로 나타나는 것으로 분석되었다. 이와 같이 무단횡단이 빈번이 관측되는 읍․면지역의 경우 활주로형 횡단보도의 설치함으로써 접근하는 차량의 속도를 저감시키는 것으로 확인하였다. 향후 보행자 교통사고 저감이 필요한 읍․면지역에 설치 시 긍정적인 효과를 기대할 수 있을 것으로 사료된다

PURPOSES : This paper proposes an artificial neural network (ANN)-based real-time traffic signal time design model using real-time field data available at intersections equipped with smart intersections. The proposed model generates suitable traffic signal timings for the next cycle, which are assumed to be near the optimal values based on a set of counted directional real-time traffic volumes. METHODS : A training dataset of optimal traffic signal timing data was prepared through the CORSIM Optimal Signal Timing program developed for this study to find the best signal timings, minimizing intersection control delays estimated with CORSIM and a heuristic searching method. The proposed traffic signal timing design model was developed using a training dataset and an ANN learning process. To determine the difference between the traditional pre-time model primarily used in practice and the proposed model, a comparison test was conducted with historical data obtained for a month at a specific intersection in Uiwang, Korea. RESULTS : The test results revealed that the proposed method could reduce control delays for most of the day compared to the existing methods, excluding the peak hour periods when control delays were similar. This is because existing methods focus only on peak times in practice. CONCLUSIONS : The results indicate that the proposed method enhances the performance of traffic signal systems because it rapidly provides alternatives for all-day cycle periods. This would also reduce the management cost (repeated field data collection) required to increase the performance to that level. A robust traffic-signal timing design model (e.g., ANN) is required to handle various combinations of directional demands.

PURPOSES : This study aims to develop and validate timing transition techniques for real-time traffic signal operations, departing from conventional methods based on past commuting traffic patterns. METHODS : In this study, we propose two traffic signal transition techniques that can perform transitions while minimizing disruptions within a short period. The Proposed 1 technique involves an unconditional transition within one cycle and allows for the allocation of offset changes to both the coordinated and non-coordinated phases. The Proposed 2 technique performs transitions within 1-2 cycles based on the offset change rate and considers the non-coordinated phase for allocating offset changes. RESULTS : Functional improvements of the proposed techniques were validated. For validation, simulated traffic signal transition scenarios were created, and a comparative analysis of the transition techniques was performed based on the selected analysis approaches. The results showed that the Proposed 1 technique exhibited the lowest delay during the approximated saturated transitions, whereas the Subtract technique showed the lowest delay during the non-saturated transitions. CONCLUSIONS : These findings emphasize the importance of selecting and applying appropriate transition techniques tailored to individual traffic scenarios. The proposed transition techniques provide valuable insights for improving real-time traffic signal operations, and contribute to the overall efficiency and effectiveness of traffic management in highway corridors.

PURPOSES : This study analyzes the effectiveness of different types of children's safety devices in a school zone. The analysis targets are yellow carpet type A (installed up to the floor and wall) and yellow carpet type B (installed only on the floor). METHODS : Based on field data collected at a school zone in Seoul, statistical tests were conducted to compare three different pairs of data: (1) none vs. yellow carpet type A, (2) none vs. yellow carpet type B, and (3) yellow carpet types A and B. The test employed two different measures: (1) the level of drivers’ eye attention and (2) the level of the vehicle deceleration rate. The study utilized software named "Visual Attention Software" to quantify the level of drivers’ eye attention at the location where children pedestrians were waiting for a green signal. It also utilized the Vegas (pro 17) image processing software to reduce the cruising speed data frame-by-frame from the video streaming data. The image data used in this study were collected with (1) camcorders attached to a test vehicle and (2) a drone aerial imaging technique. RESULTS : It was found that the level of the drivers’ eye attention level improved in the daytime when either of yellow carpet types A and B was placed; moreover, the safety enhancement effects were statistically identical. However, in nighttime, the measures only improved when the yellow carpet type A was placed. It was learned that yellow carpet type A provides significant safety effects according to both measures, i.e., the level of drivers’ eye attention and cruising speed. CONCLUSIONS : The test results suggest that the yellow carpet type A should be installed in school zones to maximize the safety effects of yellow carpets.

PURPOSES : This study proposes brief guidelines for traffic engineers in the field to refer to when operating tram priority signals based on the "early green" and "green extension" methods. METHODS : A set of VISSIM simulation analyses was conducted considering various traffic and control conditions in a hypothetical corridor consisting of two signalized intersections. The traffic conditions were varied at five different levels. The control conditions were varied at twenty-five levels by changing the tram priority traffic signal control parameters, i.e., the early green unit time and green extension unit time. A total of 125 simulation runs were from these combinations. A set of optimal signal timings for ordinary non-tram vehicles was prepared with TRANSYT-7F and implemented for the simulation. A tram priority signal control module based on VISVAP was exclusively developed for this study. RESULTS : As expected, no specific trend was found in the relationship between the two tram priority control parameters (early green time and green extension time). However, a trend was observed when assuming that the early green and green extension operations were mutually exclusive. Specifically, an inverse trend appeared between the tram priority control parameter values and level of congestion according to the performance measure (average network delay). CONCLUSIONS : For the early green control parameters, it is better to provide six seconds when undersaturated and four seconds when near-saturated. For the green extension control parameter, four seconds is suitable.

In this study, a two-stage electrostatic precipitator (ESP) was developed using a novel automatic dry cleaning device to reduce the ultrafine particles in subway stations. Collection efficiency was evaluated with a pilot scale ESP (1.2m× 1.2m) and the scale of the test duct was half of the subway air handling unit. The maximum collection efficiency for 0.3 μm particles was 96.9%. In addition, we studied a method of automatic dry cleaning for maintenance of the ESP. The cleaning efficiency was analyzed according to the cleaning flow rate for each particle loading amount to achieve a recovery rate over 90%. In addition, we derived the equation to estimate the reduction in collection efficiency according to the particle loading amount. It was confirmed that the performance of the contaminated ESP was restored to the initial state by the automatic dry cleaning in this study and that the electrical energy consumption was 5 times lower compared to utilizing conventional water cleaning.