Transportation
18 columns
120 rows
8 formats

Urban Fleet Emissions Audit Log

This dataset provides detailed, audit-level records of emissions from urban vehicle fleets, including vehicle, route, operator, and fuel information for each audit event. It supports sustainability benchmarking, regulatory compliance, and operational optimization by enabling granular analysis of emissions by route, fleet, and year. Ideal for transit operators and city planners seeking to reduce environmental impact and improve fleet efficiency.

last updated 28 Oct 2025
by GoMask

The brief that made it

Benchmarking and monitoring fleet emissions for sustainability reporting

Sample rows

preview · 8 of 120 rows · all 18 columns

audit_idstring	vehicle_typestring	distance_kmfloat	countrystring	fleet_idstring	vehicle_idstring	route_idstring	audit_datedate	emissions_co2_kgfloat	emissions_nox_kgfloat	emissions_pm_kgfloat	fuel_typestring	fuel_consumed_litersfloat	operator_idstring	citystring	regionstring	yearinteger	notesstring
AUD-00001	bus	76.2	Germany	FLEET-01	VEH-0001	RT-1001	2022-03-15	188.7	1.43	0.19	diesel	36.5	OP-001	Berlin	Berlin	2022	Routine audit, no issues.
AUD-00002	car	43.1	USA	FLEET-02	VEH-0002	RT-1002	2021-07-08	0	blank	blank	electric	blank	OP-002	San Francisco	California	2021	All-electric car, no direct emissions.
AUD-00003	taxi	13.4	France	FLEET-01	VEH-0003	RT-1003	2023-10-21	75.6	0.07	0.01	gasoline	5.8	OP-003	Paris	Île-de-France	2023	Short city route.
AUD-00004	other	99.3	UAE	FLEET-03	VEH-0004	RT-1004	2025-11-12	0	0	0	hydrogen	blank	OP-004	Dubai	Dubai	2025	Test run for pilot hydrogen vehicle.
AUD-00005	bus	112.8	Australia	FLEET-02	VEH-0005	RT-1005	2019-05-20	132.9	2.97	0.24	cng	48.1	OP-001	Sydney	New South Wales	2019	Routine audit, no issues.
AUD-00006	truck	168.1	Mexico	FLEET-04	VEH-0006	RT-1006	2020-02-13	256.3	3.51	0.37	lng	67.2	OP-005	Mexico City	Mexico City	2020	Interstate LNG truck, high mileage.
AUD-00007	car	3.9	Canada	FLEET-05	VEH-0007	RT-1007	2017-08-30	0.9	0.02	0.002	hybrid	0.7	OP-006	Toronto	Ontario	2017	Minimal distance, city commute.
AUD-00008	bus	65.3	UK	FLEET-06	VEH-0008	RT-1008	2018-04-17	159.2	1.9	0.15	diesel	29.4	OP-007	London	Greater London	2018	Routine audit, no issues.
AUD-00009	other	999.9	Japan	FLEET-07	VEH-0009	RT-1009	2100-06-01	999.9	9.99	9.99	other	999.9	OP-008	Tokyo	Tokyo	2100	Synthetic edge case for maximum year and emissions.
AUD-00010	taxi	7.6	South Africa	FLEET-08	VEH-0010	RT-1010	2015-11-02	18.8	0.11	0.03	gasoline	2.7	OP-009	Johannesburg	Gauteng	2015	blank
AUD-00011	car	20.8	Norway	FLEET-09	VEH-0011	RT-1011	2024-05-14	31.5	0.09	0.02	hybrid	2.9	OP-010	Oslo	Oslo	2024	Hybrid performance improved.
AUD-00012	van	60.4	Germany	FLEET-10	VEH-0012	RT-1012	2025-02-18	0	blank	blank	electric	blank	OP-011	Hamburg	Hamburg	2025	All-electric van; emissions zero.
AUD-00013	bus	81.2	USA	FLEET-03	VEH-0013	RT-1013	2023-09-06	191.3	1.91	0.21	diesel	41.3	OP-004	Houston	Texas	2023	Routine audit, no issues.
AUD-00014	taxi	4.2	Australia	FLEET-11	VEH-0014	RT-1014	2010-06-29	8.7	0.03	0.005	hybrid	0.8	OP-012	Melbourne	Victoria	2010	blank
AUD-00015	bus	92.3	USA	FLEET-04	VEH-0015	RT-1015	2018-12-09	146.6	2.18	0.17	diesel	38.9	OP-005	Chicago	Illinois	2018	Routine audit, no issues.
AUD-00016	car	57.9	Sweden	FLEET-05	VEH-0016	RT-1016	2023-07-17	0	blank	blank	electric	blank	OP-013	Stockholm	Stockholm	2023	All-electric car, no direct emissions.
AUD-00017	taxi	5.6	Brazil	FLEET-12	VEH-0017	RT-1017	2016-05-03	15.7	0.08	0.01	gasoline	2.3	OP-014	Rio de Janeiro	Rio de Janeiro	2016	blank
AUD-00018	car	24.1	UK	FLEET-06	VEH-0018	RT-1018	2024-03-25	38.2	0.12	0.03	hybrid	3.3	OP-007	London	Greater London	2024	Hybrid performance improved.
AUD-00019	bus	70.6	China	FLEET-07	VEH-0019	RT-1019	2022-06-13	134.2	2.13	0.22	diesel	32.5	OP-008	Beijing	Beijing	2022	blank
AUD-00020	bus	98.4	South Africa	FLEET-08	VEH-0020	RT-1020	2018-09-29	217.8	2.98	0.28	diesel	43.2	OP-009	Cape Town	Western Cape	2018	Routine audit, no issues.

What the 120 rows show

from the 120-row sample

Other (vehicle type) stands out: mean distance_km is 350.5, against 59.3 for the rest.

53.5median distance_km
8fuel types
19fleets
19operators
52.5median emissions_co2_kg
1.4median emissions_nox_kg

Mean distance_km by vehicle_type120 rows

distance_km120 rows, in bands of 100

Median 53.5, from 2.7 to 999.9.

country120 rows · top 10 of 29 values

Germany16
USA14
Australia9
UK9
France8
UAE7
South Africa7
India7
Japan5
Canada4

18 columns by typefrom the column list below

string 11
integer 1
float 5
date 1

Columns

18 columns in three groups

blueprint · 18 columns
column	type	description	example
Text 11 columns
`audit_id`	string	Unique identifier for each audit log entryunique	AUD-00001
`fleet_id`	string	Unique identifier for the vehicle fleet being audited	FLEET-01
`vehicle_id`	string	Unique identifier for the individual vehicle within the fleet	VEH-0001
`route_id`	string	Unique identifier for the transit route serviced by the vehicle	RT-1001
`fuel_type`	string	Type of fuel used by the vehicle during the audit period8 values	diesel
`operator_id`	string	Unique identifier for the transit operator responsible for the fleet	OP-001
`city`	string	City where the audit took place	Berlin
`region`	string	Region or state/province where the audit took placeoptional	Berlin
`country`	string	Country where the audit took place	Germany
`vehicle_type`	string	Type of vehicle (e.g., bus, van, truck, taxi)6 values	bus
`notes`	string	Additional notes or comments about the audit entryoptional	Short city route.
Numbers 6 columns
`emissions_co2_kg`	float	Total CO2 emissions in kilograms for the vehicle on the audited route and date0 or more	188.7
`emissions_nox_kg`	float	Total NOx emissions in kilograms for the vehicle on the audited route and date0 or more · optional	1.43
`emissions_pm_kg`	float	Total particulate matter (PM) emissions in kilograms for the vehicle on the audited route and date0 or more · optional	0.19
`distance_km`	float	Distance traveled by the vehicle on the audited route during the audit period, in kilometers0 or more	76.2
`fuel_consumed_liters`	float	Amount of fuel consumed by the vehicle during the audit period, in liters (if applicable)0 or more · optional	36.5
`year`	integer	Year the audit was performed (for year-over-year analysis)2,000 to 2,100	2022
Dates and times 1 column
`audit_date`	date	Date when the emissions audit was performed	2022-03-15

Use it for

A transportation dashboard
Distance_km by vehicle_type and a breakdown of country. Excel, Power BI or Tableau.
Why do the 14 other rows have a mean distance_km of 350.5?
A root-cause class exercise
Hand out the rows and one question. The answer is in the data, not in the brief.
Audits120
AUD-0000176.2bus
AUD-0000243.1car
AUD-0000313.4taxi
A software demo
Believable audits with fleet_id, vehicle_id and route_id to fill a screen in front of a buyer.

This dataset120 rows18 columns

Yours1,000 rows18 columnscity: UK only

blueprint · urban-fleet-emissions-audit-log

Behind this dataset

Same schema. As many rows as you need.

These 120 rows came out of a blueprint — 18 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 row represents one fleet vehicle’s audit entry per month
Emission output must be quantified in grams CO₂/km
Vehicle type, age, and fuel type must be included
Routes with above-threshold emissions flagged for review
Complies with local urban emissions standards
Missing data entries require reason codes

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

Open the blueprint in Data Factory

1 credit per row. Preview 20 rows free. Buy rows for the full run.

Exports: CSV, JSON, JSONL, Parquet, SQL, Excel, TSV, XML
Licence: yours to use, including commercially
API slug: urban-fleet-emissions-audit-log

What should your data show?

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Sample rows

What the 120 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?