"IoT Vehicle Telemetry"

"This dataset contains vehicle telemetry data collected over a cumulative span of three months, capturing real-world driving conditions across varied routes and times. It combines driving pattern information with engine and OBD-II diagnostic readings, offering a detailed look into how vehicles behave on the road. Parameters include speed, acceleration, RPM, throttle position, fuel consumption, coolant temperature, and other onboard sensor outputs. The data was logged continuously to preserve the natural rhythm of everyday driving rather than staged test scenarios. Researchers can use it to study driver behavior, predict maintenance needs, model fuel efficiency, or develop machine learning applications for intelligent transportation systems."