Road network

Corridor intelligence

Deviation and leak-rate patterns by region and corridor, built from simulated session volume.

Simulated real-world data being used for demonstration purposes

RegionAvg deviation (PSI)CorrectedPre-journeyProbable leaksEV shareMoto share
M4 corridor3.8
54%
46%
2.4%38%5%
M5 corridor4.2
58%
51%
2.9%31%7%
M6 corridor4.6
61%
39%
3.1%27%6%
M253.4
49%
42%
2.1%44%4%
South West4.9
63%
57%
3.4%24%9%
Manchester4.1
56%
36%
2.8%29%6%
London3.1
47%
33%
1.9%51%8%
Birmingham4.4
59%
38%
3%30%5%

AiR Bristol

Sessions today148
Avg session168s
Pre-journey41%

AiR Exeter

Sessions today185
Avg session175s
Pre-journey44%

AiR Reading

Sessions today222
Avg session182s
Pre-journey47%

AiR Manchester

Sessions today259
Avg session189s
Pre-journey50%

AiR London

Sessions today0
Avg session196s
Pre-journey53%

AiR Mere

Sessions today333
Avg session203s
Pre-journey56%

Evidence base

Methodology behind the network view

Regional deviation, leak rates and corridor patterns are simulated here, but the quantities being modelled and the way they are aggregated follow established measurement practice.

Deviation from an approved value, not from an average

Every deviation figure is measured against the vehicle's approved table value, which is the only defensible reference.2025

Leak rate as a maintained quantity

Continuous permeation loss means a per-vehicle loss rate is estimable from repeat sessions and is the right unit for a network signal.2009

Surface condition is a measurable input

Road roughness metrics such as IRI give a standard way to relate corridor surface state to observed tyre and dynamic-loading behaviour.1998,1999

Ground truth already exists nationally

DfT casualty statistics and MOT failure volumes provide the independent series against which any network signal would be validated.2025,2026

These are published third-party sources, not AiR simulation. The full bibliography - peer-reviewed papers, reference monographs, government reports, international standards and official statistics - lives in the science lab.

Open the research and full bibliography
/Site density/Corridor patterns/Regional deviation/Leak rates/Seasonal swing/Uptime/Site density/Corridor patterns/Regional deviation/Leak rates/Seasonal swing/Uptime

Network intelligence

Coverage is the product

One machine is a convenience. A network is infrastructure: enough density that a pre-journey check is never a detour, and enough sample that the data means something.

Sites modelled

0

Average drive to nearest unit

0.0 min

Modelled across covered regions.

Sessions per site per day

0

Network uptime

0.0%

Placement follows journeys, not footfall. Motorway service areas catch laden long-distance trips, urban forecourts catch commuter fleets, and depot installations catch commercial duty cycles before the first mile.

  • Motorway and trunk-road services for pre-journey laden traffic
  • High-volume urban forecourts for repeat consumer sessions
  • Depot and last-mile hubs for van and LCV fleets
  • Ferry, tunnel and holiday corridors for seasonal peaks

Phased deployment

Step by step

  1. Pilot cluster

    Phase 1

    Eight units in a single region with one forecourt partner, proving throughput, uptime and session economics.

  2. Regional density

    Phase 2

    Sixty units across two regions, enough sample for the first credible condition index.

  3. Corridor coverage

    Phase 3

    Motorway and trunk-road corridors linked so a long journey is never more than a few minutes from a unit.

  4. National standard

    Phase 4

    Coverage sufficient for pre-journey checking to be an expectation rather than an option.

Questions

Straight answers

In the modelled commercial structure the forecourt operator hosts, AiR supplies and maintains, and revenue is shared per session.
The unit keeps operating locally and queues session records, syncing when the link returns. Safety logic never depends on the network.