RoadSens-4M Dataset

The <b>RoadSens-4M Dataset</b> provides a multimodal collection of sensor, video, weather, and GIS data designed to support research in intelligent transportation systems, road condition monitoring, and machine-learning-based anomaly detection. This dataset integrates synchronized smartphone sensor data (accelerometer, gyroscope, magnetometer, GPS) with video annotations, weather, and geospatial information to accurately identify and classify road surface anomalies, including bumps, potholes, and normal road segments.<b>The dataset comprises 103 data sessions organized in a hierarchical structure to facilitate flexible access and multi-level analysis.</b> It is divided into four main components: <b>Raw Data</b>, <b>Combined CSV with GIS and Weather Data</b>, <b>Isolated Data</b>, and <b>GIS Data</b>. Each session folder contains all corresponding sensor CSV files, including both calibrated and uncalibrated readings from the accelerometer, gyroscope, magnetometer, barometer, compass, gravity, and GPS sensors, along with annotation and metadata files. Within every session, a dedicated <b>camera subfolder</b> holds annotation data and a text file linking to the corresponding video stored on Google Drive, allowing researchers to access complete recordings without manual segmentation.The <b>merged CSV files</b> combine synchronized sensor, GIS, and weather information (temperature, humidity, wind speed, and atmospheric pressure) with a sampling interval of <b>0.01 seconds</b>, ensuring high temporal resolution. The <b>Isolated Data</b> folder further separates normal and anomaly samples to enable focused comparative analysis, while the <b>GIS Data</b> folder contains QGIS and elevation files for spatial and topographical visualization.This well-structured organization ensures seamless integration of sensor, video, geographic, and environmental data, supporting efficient navigation and in-depth multimodal research. The <b>raw data</b> are hosted separately on Google Drive and can be accessed via the following link:<br>🔗 https://drive.google.com/drive/folders/16tRSgXy6bjgIcJZzdw3U5unw7jpsKAHB?usp=drive_link