The safety-pilot-model-deployment-data dataset is provided by the Safety Pilot Model Deployment project led by the Federal Aviation Administration (FAA) and the Department of Transportation (DOT) of the US Department of Transportation. The project aims to study communication technologies between cars and aircraft and to assess the impact of these technologies on road safety.
Dataset address: https://github.com/GSA/data.gov
The dataset contains on-board sensor data from 3,000 communication-capable vehicles and data from 20 infrastructure detectors from August 2011 to September 2012. These vehicles drive on ordinary roads in the Ann Arbor, Michigan area, and communicate with each other through vehicle-to-vehicle communication technology (V2V) and vehicle-infrastructure communication technology (V2I). The data includes vehicle speed, position, direction, acceleration, vehicle status and vehicle communication information, etc.
Additionally, the dataset includes weather, terrain, and traffic data from weather observatories, the U.S. Geological Survey, and the Transportation Authority. The data can help researchers better understand how vehicles and drivers behave and respond in different environments.
This data set is of high research value for the study of automotive safety technology, traffic management, and intelligent transportation systems, and can be used to develop and test various traffic safety applications and models.
According to the description of the dataset, the dataset contains the following:
20 CSV files, each containing one day's worth of infrastructure probe data. These files are named in the format "ObservedData_YYYY-MM-DD.csv", where YYYY-MM-DD represents the date. Each file contains the following data fields:
DetectorId: The ID of the infrastructure detector.
VehicleCount: The number of vehicles passing the detector.
AverageSpeed: The average speed of vehicles passing the detector.
Occupancy: Occupancy of vehicles detected on the detector.
Status: Code for the status of the detector.
301 CSV files, each containing sensor data for one vehicle. The files are named in the format "VehicleData_VIN-NNNNNNN.csv", where VIN-NNNNNNN is the Vehicle Identification Number (VIN) and serial number. Each file contains the following data fields:
VehicleID: The unique ID of the vehicle.
LocalTime: The timestamp of the collected data.
Latitude: The latitude of the vehicle.
Longitude: Longitude of the vehicle.
Elevation: The altitude of the location where the vehicle is located.
Heading: The direction of travel of the vehicle.
Speed: The speed of the vehicle.
AccelX: Acceleration of the vehicle on the x-axis.
AccelY: Acceleration of the vehicle on the y-axis.
AccelZ: Acceleration of the vehicle on the z axis.
YawRate: The yaw rate of the vehicle.
BrakeStatus: The code of the brake status of the vehicle.
LightStatus: The code of the vehicle light status.
WiperStatus: The code of the vehicle wiper status.
SteeringWheelAngle: The steering wheel angle of the vehicle.
4 CSV files containing data from the Transit Authority, US Geological Survey, and weather observatories. These files are named in the format "BsmPilot_Metadata_YYYY-MM-DD.csv", where YYYY-MM-DD represents the date. Each file contains the following data fields:
MessageID: ID of the message.
LocalTime: The local timestamp of the message.
SourceID: The ID of the data source.
Provider: The provider of the data source.
MessageType: The code of the message type.
DatasetName: The name of the dataset.
DatasetId: The ID of the dataset.
DatasetVersion: The version number of the dataset.
Latitude: The latitude of the data source.
Longitude: The longitude of the data source.
Elevation: The altitude of the data source.
EventCode: event code.
reference
https://arxiv.org/ftp/arxiv/papers/1606/1606.08365.pdf
https://www.its.dot.gov/factsheets/pdf/SafetyPilotModelDeployment.pdf
http://www.360doc.com/content/15/0526/16/12851529_473395375.shtml
https://www.semanticscholar.org/paper/Empirical-Study-of-DSRC-Performance-Based-on-Safety-Huang-Zhao/e817da58d4babdd358a368b015ac6f10f9d7254c
https://www.mdpi.com/1424-8220/22/8/3040
https://www.science.org/doi/10.1126/sciadv.abn3999
https://slideplayer.com/slide/7980394/