PURPOSES : Traffic volume, an important basic data in the field of road traffic, is collected from traffic survey equipment installed at certain locations, which sometimes results in missing traffic volume data and abnormal detection. Therefore, this study presents various missing correction techniques using traffic characteristic analysis to obtain accurate traffic volume statistics. METHODS : The fundamental premise behind the development of a traffic volume correction and prediction model is to set the corrected data as the reference value, and the traffic volume correction and prediction process for the outliers and missing values in the raw data were performed based on the set values. RESULTS : The simulation results confirmed that the algorithm combining seasonal composition, quantile AD, and aggregation techniques showed a detection performance of more than 91% compared with actual values. CONCLUSIONS : Raw data collected due to difficulties faced by traffic survey equipment will result in missing traffic volume data and abnormal detection. If these abnormal data are used without appropriate corrections, it is difficult to accurately predict traffic demand. Therefore, it is necessary to improve the accuracy of demand prediction through characteristic analysis and the correction of missing data or outliers in the traffic data.

PURPOSES: Most of the traffic surveys are carried out by an inspection method by the manpower. In some cases, the video equipment is used only in some regions when the traffic volume is surveyed. In this case, there is environmental restriction that the road equipment to fix the video equipment should exist. Also, in areas where information such as digital maps and satellite photographs is old or not provided, they are forced to rely on manpower research, but it is difficult to put huge amounts of time and money into the research in places where labor supply and demand is difficult. This difficulty is particularly pronounced in overseas business. METHODS : The purpose of this study is to improve the efficiency of business by using the drones in the traffic investigation through analysis of the cost reduction effect between the existing method and the proposed method in the overseas business traffic survey. The scope of the research is limited to the scope of research, and based on the case of overseas projects, the method of using drone for each research sector is suggested. RESULTS: In the traffic condition survey section, we propose the use of drone for traffic survey and queue length survey, and it is confirmed that there is a cost saving effect of 16% ~ 27% compared with the existing method. In the road condition survey, we propose the use of drones for road surface linear survey, geometry survey, and obstacle survey, and it was confirmed that the cost reduction effect is 39% ~ 93% compared to the existing method. CONCLUSIONS: In addition to overseas business, it is expected that it will have a positive effect on research time and cost reduction by using drone in traffic survey in domestic area where labor supply is not easy or basic data is insufficient.

본 연구는 우리나라 전국 무역항 중 입항 선박이 많은 주요 4개 항만을 선정하여 10일간의 AIS 실측 자료를 분석하였다. 실측 조사로 산출한 주요항만의 피크시간 혼잡도는 시간당 평균혼잡도 보다 약 3.8~5.7배 높게 나타났다. 이는 기존의 Port-MIS 통계자료로 울산항 본항의 해상교통혼잡도를 평가한 선행연구 사례에서 피크시간 혼잡도가 시간당 평균혼잡도 보다 약 1.7배 높은 것과는 많은 차이가 있어 현 항로의 교통특성을 왜곡하는 문제를 확인할 수 있다. 따라서 해상교통혼잡도를 평가할 때에는 Port-MIS 통계자료보다 실측조사를 기반으로 해상교통혼잡도를 산출하는 것이 타당하다고 본다.

To establish a vessel safety management system for improving the safety of vessel's traffic and preventing vessel's traffic accidents, the state of marine traffic in the Busan South Port was investigated and analyzed as preliminary survey of the countermeasures. As a result of the study, there are 1,158 vessels in a day, 48 vessels in an hour, and the maximum traffic is about 118 vessels between 16:00 and 17:00 hours everyday, which requires to establish and operate a traffic control system necessarily for ensuring vessel's traffic safety. Furthermore, passages of tanker, passenger ship, cargo vessel and government vessel showed to sail along main traffic lane to be obtained enough sea depth at the survey area. However, passages of fishing vessel and launch showed to sail freely at all survey area owing to outstanding maneuverability and a shallow draft. Some vessels of launch sailed along main traffic lane, but other vessels crossed to sail it. The passages to cross main traffic lane is higher the risk of collision. Therefore, safety measures are urgently needed for the operation of the Busan South Port management system and the prevention of marine pollution.

교통량 자료는 도로의 계획, 설계 및 운영 등에 폭넓게 활용되는 자료이다. 일반국도를 대상으로 1955년부터 전국 규모의 교통조사가 시행되고 있으며, 도로의 결절점을 기준으로 구간을 설정한 후 상시조사를 실시하고 있다. 그러나 전 구간에서 상시조사를 수행하는 데에는 한계가 있기 때문에 우선순위를 결정하는 것은 중요한 문제이다. 본 연구에서는 우선순위 결정을 위한 방법론으로 AHP(Analytic Hierarchy Process)를 적용한 다기준 의사결정 기법 (MCDM : Multiple Criteria Decision Making)을 적용하였다. 판단 기준변수로는 도로계획 [AADT, VKT, 첨두시간 교통량, 도시부유출입구간] 도로설계 [Volume(pcu), 방향별교통량, 중차량비], 그리고 도로운영 (속도, 밀도, V/C)으로 정의하였다. 평가자료를 정량화 및 규준화하였고, 설문조사를 통해 얻은 쌍대비교 값들을 가지고 고유벡터 방법으로 계층별, 가중치를 구하였다. 교통량 조사구간에 대한 교통조사 우선순위 선정은 규준화 값과 계층별, 가중치를 곱하여 구한 대안 값의 전체 합의 크기에 따라 결정하였다. 이를 통하여 상시 교통량 조사를 위해 다수의 구간으로 분할된 일반국도를 대상으로, 상시 교통량 조사 지점 우선순위를 결정하였다.