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.数据集描述： 本数据集包含经处理与脱敏的全球导航卫星系统（GNSS）遥测日志，数据源自挪威北部E6走廊沿线运行的25.25米模块化高运力运输（High Capacity Transport, HCT）重型装备的93次往返运输班次。所有数据均通过公路异常分割引擎模型（HASEM）处理管线完成处理。 数据处理与脱敏流程： 1. 时间混淆：已将原始时间戳转换为相对任务时长（Relative_Time_s），以保护商业运营调度信息。 2. 地理围栏：为保障商业运营安全并聚焦于基于运输行程的运动学分析，已剔除特罗姆瑟与纳尔维克终端站点2公里半径范围内的所有数据点。 3. 特征工程：本数据集包含计算得到的运动学异常指数（C_s），该指数采用窗口大小为w=10的滚动标准差窗口计算得出，并以95百分位数进行归一化处理。 文件结构： CSV格式文件"HASEM_Sanitized_Data.csv"包含以下字段： - Relative_Time_s：自行程启动起累计流逝的秒数。 - Latitude / Longitude：WGS84坐标系下的UTM坐标，保留6位小数。 - Speed_kmh：车辆瞬时行驶速度，单位：公里每小时。 - Yaw_Angle_deg：偏航角速度/航向角，单位：度。 - C_s：计算得到的运动学异常指数。 本数据集可复现伴随论文中所述的方法学流程，以及预测接管请求（Take-Over Request, TOR）节点的推导过程。 关键词： HASEM、北极物流、高运力运输、SAE 3级自动驾驶、GNSS遥测、运动学失稳、接管请求