Explore the starter data
We used AI-assisted research to investigate the published sources, then created 20 non-sensitive synthetic records shaped by what those sources expose. It is starter data for exploration—not real service data or evidence.
Read the note on this dataset
Twenty invented hourly counts standing in for the traffic census figures a transport team already works from, with four numbered junctions, a vehicle count, and bus and cycle shares given as percentages of the vehicles counted.
Every record in the file
Inspect, compare, understand
Use 20 synthetic hourly counts across four junctions to explore signal timing without using a real traffic network. Switch views without losing the description, source file, or limitations on this page.
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| SYN-TF-01 | Junction 01 | 07:00-08:00 | 1840 | 4.2 | 1.6 |
|---|---|---|---|---|---|
| SYN-TF-02 | Junction 01 | 08:00-09:00 | 2310 | 3.8 | 2.1 |
| SYN-TF-03 | Junction 01 | 12:00-13:00 | 1420 | 5.1 | 0.9 |
| SYN-TF-04 | Junction 01 | 17:00-18:00 | 2180 | 3.4 | 1.2 |
| SYN-TF-05 | Junction 01 | 22:00-23:00 | 460 | 2.2 | 0.3 |
| SYN-TF-06 | Junction 02 | 07:00-08:00 | 1120 | 2.6 | 0.7 |
| SYN-TF-07 | Junction 02 | 08:00-09:00 | 1490 | 2.4 | 0.9 |
| SYN-TF-08 | Junction 02 | 12:00-13:00 | 880 | 3 | 0.4 |
| SYN-TF-09 | Junction 02 | 17:00-18:00 | 1360 | 2.1 | 0.5 |
| SYN-TF-10 | Junction 02 | 22:00-23:00 | 240 | 1.4 | 0.1 |
| SYN-TF-11 | Junction 03 | 07:00-08:00 | 380 | 0.5 | 0.2 |
| SYN-TF-12 | Junction 03 | 08:00-09:00 | 460 | 0.4 | 0.3 |
| SYN-TF-13 | Junction 03 | 12:00-13:00 | 310 | 0.6 | 0.1 |
| SYN-TF-14 | Junction 03 | 17:00-18:00 | 520 | 0.4 | 0.2 |
| SYN-TF-15 | Junction 03 | 22:00-23:00 | 90 | 0 | 0 |
| SYN-TF-16 | Junction 04 | 07:00-08:00 | 960 | 8.4 | 3.2 |
| SYN-TF-17 | Junction 04 | 08:00-09:00 | 1240 | 7.9 | 4.1 |
| SYN-TF-18 | Junction 04 | 12:00-13:00 | 1080 | 9.2 | 2.6 |
| SYN-TF-19 | Junction 04 | 17:00-18:00 | 1310 | 7.2 | 2.9 |
| SYN-TF-20 | Junction 04 | 22:00-23:00 | 210 | 3.8 | 0.6 |
AI-assisted research helped identify and interpret the published sources. We then created a small, non-sensitive synthetic dataset shaped by the information those sources expose. It is for exploration—not evidence, training, or operational decisions.
Method note
How it was prepared
AI authored fictional vehicle counts and bus and cycle shares across five time bands for each junction.
Conditions for use
What this dataset cannot tell you
- The junctions are numbers and the counts are invented, so nothing here describes traffic anywhere in Northern Ireland.
- Four junctions are not a network: queues, incidents, and the effect of one junction on the next are exactly what a small table cannot hold.
- Counting vehicles counts the people who are not in one badly, and the pedestrians who cross here do not appear in this file at all.
- It is invented. No record describes a real person, place, case, or measurement, and no result computed from it is evidence that anything works in a live service.