The purpose of this study is to evaluate the applicability of an unsupervised outlier-detection method as a surrogate safety measure (SSM) to estimate the effect of AI-based Bike-Safe monitoring system. An SSM that utilizes near-miss data immediately before an accident occurs must be developed to compensate for inadequate bicycle accident data and missing reports. In particular, the omission level of accident reports related to bicycle users is higher on bicycle paths, which implies that the importance of an SSM in safety management is much greater than in the general road environment. Therefore, the unsupervised outlier-detection method was set as the SSM because it can be learned without a label, is suitable for streaming data, and is generalizable under limited data. Additionally, the DeepAnT(deep learningbased anomaly detection) model was selected as the most appropriate time-series outlier-detection method. Using the time-series prediction module of the learned DeepAnT model, we analyzed the frequency of outliers or avoidance behaviors based on a linear relationship between estimated and observed values. The history data of the acceleration change rate of each bicycle were applied to the DeepAnT model to evaluate the possibility of using alternative safety indicators. Thus, those data are expected to be applicable as an alternative safety indicator for bicycle paths.

The Ionospheric Anomaly Monitoring by Magnetometer And Plasma-probe (IAMMAP) is one of the scientific instruments for the Compact Advanced Satellite 500-3 (CAS 500-3) which is planned to be launched by Korean Space Launch Vehicle in 2024. The main scientific objective of IAMMAP is to understand the complicated correlation between the equatorial electro-jet (EEJ) and the equatorial ionization anomaly (EIA) which play important roles in the dynamics of the ionospheric plasma in the dayside equator region. IAMMAP consists of an impedance probe (IP) for precise plasma measurement and magnetometers for EEJ current estimation. The designated sun-synchronous orbit along the quasi-meridional plane makes the instrument suitable for studying the EIA and EEJ. The newly-devised IP is expected to obtain the electron density of the ionosphere with unprecedented precision by measuring the upper-hybrid frequency (fUHR) of the ionospheric plasma, which is not affected by the satellite geometry, the spacecraft potential, or contamination unlike conventional Langmuir probes. A set of temperaturetolerant precision fluxgate magnetometers, called Adaptive In-phase MAGnetometer, is employed also for studying the complicated current system in the ionosphere and magnetosphere, which is particularly related with the EEJ caused by the potential difference along the zonal direction.