Vehicle telemetry, CAN-bus traces, V2X communication and automotive cybersecurity data for fleet analytics and autonomous-driving research.
Free CC0 synthetic dataset: 1,000 rows of vehicle speed, engine RPM, fuel level and driving-event labels. Sedan+SUV+Truck. Reproducible from its seed.
Deep learning-ready dataset combining real vehicle CAN bus traffic and simulated attack scenarios (DoS, fuzzing, spoofing) for training intrusion detection systems to protect autonomous and connected vehicles from cyber-attacks.
Specialized dataset containing features influencing vehicle collisions in Internet of Vehicles (IoV) networks. Includes V2V communication data, sensor readings, traffic conditions, and collision indicators for developing intelligent collision detection and prevention systems.
Comprehensive dataset analyzing fuel consumption ratings and CO2 emissions for light-duty vehicles sold in Canada/USA.
Telemetry data from Electric Vehicle (EV) battery charging sessions, including State of Charge (SOC), voltage, current, and temperature.
Multimodal dataset for autonomous driving that combines camera frames with ultrasonic and radar sensor data to detect objects in blind spots.
Real-time stream data combining traffic congestion levels with air pollution sensors (CO2, NO2) in urban intersections.