Transportation
19 columns
200 rows
8 formats

Telematics Vehicle Sensor Streams

This dataset provides granular, time-stamped telematics sensor data from vehicles in a fleet, including location, speed, engine parameters, and diagnostic codes. It enables advanced fleet optimization, real-time monitoring, and predictive maintenance modeling, supporting data-driven decisions for operational efficiency and safety.

opened 9 times
last updated 22 Jul 2025
by GoMask

The brief that made it

Fleet optimization and route planning

Sample rows

preview · 8 of 200 rows · all 19 columns

record_idstring	gear_positionstring	fuel_level_percentfloat	brake_statusboolean	dtc_codestring	vehicle_idstring	fleet_idstring	timestampdatetime	latitudefloat	longitudefloat	speed_kphfloat	engine_rpminteger	odometer_kmfloat	engine_temp_celsiusfloat	battery_voltagefloat	throttle_position_percentfloat	sensor_fault_flagboolean	external_temperature_celsiusfloat	driver_idstring
REC100001	D	63.4	false	blank	VHCL001	FLEET01	2024-04-01T08:04:20Z	34.0451	-118.2506	48.3	1700	50231.7	81	12.6	18.4	false	18.3	DRV001
REC100002	P	82.9	true	blank	VHCL002	FLEET01	2024-04-01T08:04:21Z	34.0452	-118.2507	0	750	18902.4	68.2	12.2	0	false	17.9	DRV002
REC100003	D	49.1	false	blank	VHCL003	FLEET02	2024-04-01T08:04:22Z	33.9951	-118.2568	72.5	2600	105331.7	86.9	13.1	32.4	false	19.5	DRV011
REC100004	D	25.6	false	P0420	VHCL004	FLEET02	2024-04-01T08:04:23Z	33.9952	-118.257	85.7	2950	234561	89.4	12.5	44.2	true	20.2	DRV013
REC100005	N	95.8	true	blank	VHCL005	FLEET03	2024-04-01T08:04:24Z	34.0123	-118.3055	14.1	1200	325.9	60.7	12.8	5	false	17.6	DRV004
REC100006	D	33.2	false	blank	VHCL006	FLEET03	2024-04-01T08:04:25Z	34.0125	-118.3057	102.4	3200	199283.6	90.8	13.2	52.8	false	21	DRV015
REC100007	P	71.7	true	blank	VHCL007	FLEET04	2024-04-01T08:04:26Z	34.1452	-118.1567	0	800	48744.9	70.2	12.4	0	false	16.4	DRV007
REC100008	D	58.5	false	blank	VHCL008	FLEET04	2024-04-01T08:04:27Z	34.1453	-118.1569	66.9	2350	87632.1	79.3	12.9	27.7	false	17.2	DRV008
REC100009	D	44.7	false	P0171	VHCL009	FLEET05	2024-04-01T08:04:28Z	34.2258	-118.2356	123.2	4100	153009.2	97.5	13.4	68.3	true	22.3	DRV016
REC100010	2	29.5	false	blank	VHCL010	FLEET05	2024-04-01T08:04:29Z	34.2259	-118.2357	31.8	1510	32102.4	77.1	12.6	11.6	false	18.7	DRV017
REC100011	N	77.3	true	blank	VHCL011	FLEET06	2024-04-01T08:04:30Z	34.0917	-118.3272	0	820	997.2	63.5	12.5	0	false	15.8	DRV023
REC100012	D	60.1	false	blank	VHCL012	FLEET06	2024-04-01T08:04:31Z	34.0918	-118.3273	56.2	2040	23119.4	82	13	23.7	false	16.5	DRV025
REC100013	3	12.5	false	P0300	VHCL013	FLEET07	2024-04-01T08:04:32Z	34.0184	-118.4912	143.7	5500	283219.7	102.6	13.8	81.9	true	25.4	DRV027
REC100014	2	41.8	false	blank	VHCL014	FLEET07	2024-04-01T08:04:33Z	34.0185	-118.4913	99.4	3200	129217	92.1	13.5	55.6	false	24.9	DRV029
REC100015	P	54.5	true	blank	VHCL015	FLEET08	2024-04-01T08:04:34Z	33.9613	-118.3439	0	780	72105.7	75.4	12.2	0	false	14.7	DRV035
REC100016	D	37.8	false	blank	VHCL016	FLEET08	2024-04-01T08:04:35Z	33.9614	-118.3441	68.4	2600	188234.7	87.4	13.3	29.9	false	15.3	DRV037
REC100017	D	51.3	false	blank	VHCL017	FLEET09	2024-04-01T08:04:36Z	34.0639	-118.4452	61.5	1850	12792.7	79.9	12.7	25.2	false	19.1	DRV039
REC100018	P	60.2	true	blank	VHCL018	FLEET09	2024-04-01T08:04:37Z	blank	blank	0	730	0	45.1	11.9	0	false	13.2	DRV041
REC100019	D	62.2	false	blank	VHCL001	FLEET01	2024-04-01T08:05:15Z	34.0454	-118.2508	53.9	1800	50232.8	82.4	12.7	19.6	false	18.6	DRV001
REC100020	N	82.6	true	blank	VHCL002	FLEET01	2024-04-01T08:05:18Z	34.0455	-118.2509	0	760	18902.8	69.1	12.1	0	false	18.1	DRV002

What the 200 rows show

from the 200-row sample

P (gear position) stands out: 42 of its 42 rows have brake_status = true, against 32 of 158 for the rest.

37%brake_status = true
51.1median fuel_level_percent
42fleets
41.6median speed_kph
1,550median engine_rpm
83,014median odometer_km

Brake status rate by gear_positionbrake_status = true

fuel_level_percent200 rows, in bands of 10

Median 51.1, from 8.1 to 100.0.

dtc_code15 rows with a value · 185 left blank

P01715
P03004
P04202
P03022
P04551
P04421

19 columns by typefrom the column list below

string 6
integer 1
float 9
datetime 1
boolean 2

Columns

19 columns in four groups

blueprint · 19 columns
column	type	description	example
Text 6 columns
`record_id`	string	Unique identifier for each sensor data recordunique	REC100001
`vehicle_id`	string	Unique identifier for the vehicle generating the sensor data	VHCL001
`fleet_id`	string	Identifier for the fleet to which the vehicle belongsoptional	FLEET01
`gear_position`	string	Current gear position (e.g., 'P', 'N', 'D', 'R', '1', '2', '3')7 values · optional	D
`dtc_code`	string	Diagnostic Trouble Code (DTC) if any fault is detected; blank if none6 codes · optional	P0420
`driver_id`	string	Identifier for the driver operating the vehicle at the time of recordingoptional	DRV001
Numbers 10 columns
`latitude`	float	Latitude coordinate of the vehicle at the time of recording-90 to 90 · optional	34.0451
`longitude`	float	Longitude coordinate of the vehicle at the time of recording-180 to 180 · optional	-118.2506
`speed_kph`	float	Instantaneous speed of the vehicle in kilometers per hour0 or more · optional	48.3
`engine_rpm`	integer	Engine revolutions per minute at the time of recording0 or more · optional	1700
`fuel_level_percent`	float	Current fuel level as a percentage (0-100)0 to 100 · optional	63.4
`odometer_km`	float	Total distance traveled by the vehicle in kilometers at the time of recording0 or more · optional	50231.7
`engine_temp_celsius`	float	Engine temperature in degrees Celsiusoptional	81
`battery_voltage`	float	Current battery voltage of the vehicleoptional	12.6
`throttle_position_percent`	float	Throttle position as a percentage (0-100)0 to 100 · optional	18.4
`external_temperature_celsius`	float	Ambient temperature outside the vehicle in degrees Celsiusoptional	18.3
Dates and times 1 column
`timestamp`	datetime	Date and time when the sensor data was recorded (UTC)	2024-04-01T08:04:20Z
True or false 2 columns
`brake_status`	boolean	Indicates whether the brake is currently engaged (true) or not (false)optional	false
`sensor_fault_flag`	boolean	Indicates if any sensor fault is detected (true) or not (false)optional	false

Use it for

A transportation dashboard
The brake_status rate, fuel_level_percent by gear_position and a breakdown of dtc_code. Excel, Power BI or Tableau.
Why do 74 of 200 rows have brake_status = true?
A root-cause class exercise
Hand out the rows and one question. The answer is in the data, not in the brief.
Records200
REC10000163.4D
REC10000282.9P
REC10000595.8N
A software demo
Believable records with vehicle_id, fleet_id and timestamp to fill a screen in front of a buyer.

This dataset200 rows19 columns

Yours10,000 rows19 columns

blueprint · telematics-vehicle-sensor-streams

Behind this dataset

Same schema. As many rows as you need.

These 200 rows came out of a blueprint — 19 columns with generation rules behind each one. Open it in Data Factory to retune a column, add your own, wire in foreign keys, and run it at the size you actually need.

Rules it was built with

Each record has timestamped multi-sensor readings.
Includes speed, acceleration, location, fuel usage, engine status.
Anomalies and sensor faults randomly introduced.
Records linked to anonymized vehicle IDs.

Rows1,000 rows10,000 rows100,000 rows1,000,000 rows

Open the blueprint in Data Factory

1 credit per row. New accounts start with 25 free credits.

Exports: CSV, JSON, JSONL, Parquet, SQL, Excel, TSV, XML
Licence: yours to use, including commercially
API slug: telematics-vehicle-sensor-streams

What should your data show?

No signup. No card.

Sample rows

What the 200 rows show

Columns

Use it for

A transportation dashboard

A root-cause class exercise

A software demo

Make it yours.

Same schema. As many rows as you need.

More in Transportation

What should your data show?