HASEM Dataset: Kinematic Telemetry and Predictive TOR Nodes for HCT Logistics in Arctic Conditions

Description This dataset contains processed and sanitized GNSS telemetry logs derived from 93 shuttle trips of a 25.25-meter modular High Capacity Transport (HCT) rig operating along the E6 corridor in northern Norway. The data has been processed using the Highway Anomaly Segmentation Engine Model (HASEM) pipeline. Data Processing and Sanitization: Temporal Obfuscation: Timestamps have been converted to relative mission time (Relative_Time_s) to protect operational schedules. Spatial Filtering & Geofencing: Terminal operations, low-speed maneuvers, and lateral deviations have been systematically excluded using a 50 m orthogonal buffer around the E6 centerline and a continuous speed constraint (v_i ≥ 45 km/h), ensuring focus on steady-state transit kinematics. Feature Engineering: The dataset includes the computed Kinematic Anomaly Index (C_s), calculated using a rolling standard deviation window of k=3 samples, normalized to the 95th percentile. File Structure: The CSV file (HASEM_Sanitized_Data.csv) contains the following columns: Relative_Time_s: Seconds elapsed from the start of the trip. Latitude / Longitude: Geographic coordinates (WGS84, EPSG:4326), rounded to 6 decimal places. Speed_kmh: Instantaneous vehicle speed. Yaw_Angle_deg: Yaw rate/heading. C_s: The calculated Kinematic Anomaly Index. This dataset directly supports the reproducibility of the methodology and the derivation of predictive Take-Over Request (TOR) nodes described in the accompanying JETA manuscript. (Keywords) HASEM; Arctic Logistics; High Capacity Transport; SAE Level 3; GNSS Telemetry; Kinematic Instability; Take-Over Request.