GPS, speed, RPM, fuel, driving state, hard-brake, and rapid-acceleration fields
Synthetic connected-vehicle telemetry datasets
Connected Vehicle records provide synthetic driving-state and telemetry time series, including location, motion, engine, fuel, and driving-event fields.
Engine maturity
Experimental Engine — Audit In Progress
This domain is under active correction. A documented audit has identified defects in its unit handling, temporal behaviour and event semantics. Outputs should not be treated as empirically validated observations.
engine 3.2.0 · maturity experimental · validation audit_in_progress
Research scope
The generator supports research and prototyping. It does not claim calibration to a specific fleet, vehicle manufacturer, road network, or driver population.
Synthetic transport telemetry for time-series, event, and fleet-analytics experiments
Column schema
Every record in this domain emits the same 16 columns . Types and ranges below are read from the generator itself, so they cannot drift from the files it produces.
| Column | Type | Range |
|---|---|---|
| Timestamp | datetime | — |
| Vehicle_ID | string | — |
| Vehicle_Type | categorical | — |
| Speed_kmh | float | 0, 200 |
| Latitude | float | — |
| Longitude | float | — |
| Heading_deg | float | 0, 360 |
| Acceleration_ms2 | float | -10, 10 |
| Engine_RPM | integer | 0, 8000 |
| Fuel_Level_Pct | float | 0, 100 |
| Tire_Pressure_kPa | float | 150, 350 |
| OBD_Coolant_Temp_C | float | 20, 120 |
| Distance_Front_m | float | 0, 200 |
| Brake_Status | categorical | — |
| Traffic_Density | categorical | — |
| Driving_Event | categorical | — |
Generative models
Values come from explicit equations, not from a trained generative model. Each component below is documented in the methodology.
Driving state
Finite state machine over idle, accelerate, cruise, decelerate and stop.
Position
GPS dead reckoning from heading and speed.
Powertrain
Five-gear engine-speed model linking road speed to RPM.
Events
Driving-event classifier for hard braking and rapid acceleration.
Research uses
The common thread is known ground truth: the generator records the true state alongside the observation of it, which a real deployment cannot supply.
Driving-event classification with exact event labels
Trajectory and dead-reckoning method evaluation
Fleet-analytics prototyping
Fuel and energy modelling across vehicle profiles
Compared with measured datasets
Measured datasets in this area remain the reference for site realism. A generator answers a different question: what a method does when the true state is known and the scenario can be set deliberately. These are complements, not substitutes.
| Measured dataset | What it provides | What a generated record adds |
|---|---|---|
| comma2k19 | Highway driving segments with vehicle and sensor logs. | Exact driving-event labels instead of labels inferred after the fact. |
| Berkeley DeepDrive | Large driving video and telemetry corpus. | Lightweight tabular telemetry with declared ranges per channel. |
| NGSIM | Detailed vehicle trajectory measurements. | Powertrain, fuel and OBD channels coupled to the same driving state. |
Scope and limits
What is currently established
- — The generator runs and emits its declared column contract.
- — Output is deterministic for a given domain, parameter set and seed.
- — Scientific audit of its models, units, temporal behaviour and event semantics is still outstanding.
What it does not establish
- — Site realism, or transfer to any specific real deployment.
- — Calibration against a named site, sensor network, fleet or population.
Browse Connected Vehicle generated records
Each card links to the original citable record. IoTSyn keeps that URL, its dataset file, and its citation guidance unchanged.
Connected Vehicle
Pre-4.4.0 · unversioned
Connected Vehicle Dataset
100 rows · published Jul 31, 2026
Open original dataset record →
Connected Vehicle
Pre-4.4.0 · unversioned
Connected Vehicle Dataset
1,000 rows · published Apr 4, 2026
Open original dataset record →
Connected Vehicle
Pre-4.4.0 · unversioned
Connected Vehicle Dataset
4,000 rows · published Mar 21, 2026
Open original dataset record →
Connected Vehicle
Pre-4.4.0 · unversioned
Connected Vehicle Dataset
100 rows · published Mar 20, 2026
Open original dataset record →Frequently asked questions
Is this calibrated to a real fleet or road network?
No. The generator supports research and prototyping and claims no calibration to a specific fleet, manufacturer, road network or driver population.
What vehicle types are modelled?
Distinct profiles with their own speed, RPM, tyre-pressure and consumption characteristics, including an electric profile with no engine RPM.
Are driving events labelled?
Yes. A Driving_Event column classifies hard braking and rapid acceleration, with Brake_Status and Traffic_Density alongside.
Is the GPS track physically consistent?
Positions are produced by dead reckoning from heading and speed, so latitude and longitude remain consistent with the reported motion rather than being drawn independently.