In this study, we propose a data-driven analytical framework for systematically analyzing the driving patterns of autonomous buses and quantitatively identifying risky driving behaviors at the road-segment level using operational data from real roads. The analysis was based on Basic Safety Message (BSM) data collected over 125 days from two Panta-G autonomous buses operating in the Pangyo Autonomous Driving Testbed. Key driving indicators included speed, acceleration, yaw rate, and elevation, which were mapped onto high-definition (HD) road maps. A hybrid clustering method combining self-organizing map (SOM) and k-means++ was applied, which resulted in eight distinct driving pattern clusters. Among these, four clusters exhibited characteristics associated with risky driving such as sudden acceleration, deceleration, and abrupt steering, and were spatially visualized using digital maps. These visualizations offer practical insights for real-time monitoring and localized risk assessment in autonomous vehicle operations. The proposed framework provides empirical evidence for evaluating the operational safety and reliability of autonomous buses based on repeated behavioral patterns. Its adaptability to diverse urban environments highlights its utility for intelligent traffic control systems and future mobility policy planning.

From 2017 to 2024, we surveyed 43 diverse aquatic habitats in South Korea, leading to the identification of 18 cyanobacterial taxa that are newly recorded for the country, found across eight sites (about 18% of the surveyed locations). These taxa exhibit a wide range of morphological forms, including unicellular, colonial, filamentous, and heterocytous types, and belong to various orders such as Chroococcales, Synechococcales, Nostocales, and Stigonematales. Notably, this study provides a provisional record of Gomphosphaeria aponina in Korea, correcting its previous misidentification as G. natans. We also documented Dolichospermum compactum, a species that has been genetically reclassified. Additionally, we identified species with the potential to cause harmful algal blooms (HABs), such as Microcystis botrys and Gloeotrichia aurantiaca, which are crucial for domestic water quality monitoring. Currently, only 414 cyanobacterial taxa are recorded in Korea, representing less than 8% of the estimated global total of approximately 5,300 species. This significant gap underscores the considerable unrecorded diversity within Korean aquatic ecosystems. These findings substantially enhance the national cyanobacterial checklist and underscore the need for ongoing monitoring in understudied aquatic environments. They also highlight the importance of integrating classical morphological and ecological observations with advanced molecular methods. This polyphasic approach can accurately detect cryptic diversity and support robust ecological assessments. Overall, this comprehensive floristic expansion offers valuable baseline data for biodiversity inventories, ecological monitoring, and the development of microbial resources within Korean aquatic environments.

가위벌과에 속하는 Coelioxys의미기록 2종 Coelioxys conoidea Illiger, 1806 와 Coelioxys formosicola Strand, 1913을 한국에서 처음으로 보 고한다. 본 종의 기재, 분포정보, 그리고 삽화를 제공한다.