---
title: "Road Asset Geometry and Condition Data Capture."
ocid: "ocds-b5fd17-70383f5a-c7cc-4227-a4a0-800baaa8ad0e"
canonical_url: "https://d3tenders.com/contract/?ocid=ocds-b5fd17-70383f5a-c7cc-4227-a4a0-800baaa8ad0e"
markdown_url: "https://d3tenders.com/contract/ocds-b5fd17-70383f5a-c7cc-4227-a4a0-800baaa8ad0e.md"
json_url: "https://d3tenders.com/contract/ocds-b5fd17-70383f5a-c7cc-4227-a4a0-800baaa8ad0e.json"
source: "Contracts Finder"
current_stage: "Award"
buyer: "HIGHWAYS ENGLAND COMPANY LIMITED"
published: "2019-09-13"
---

# Road Asset Geometry and Condition Data Capture.

Buyer: HIGHWAYS ENGLAND COMPANY LIMITED  
Current stage: Award  
OCID: ocds-b5fd17-70383f5a-c7cc-4227-a4a0-800baaa8ad0e

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## Summary

The procurement process titled "Road Asset Geometry and Condition Data Capture" was conducted by Highways England Company Limited and falls under the category of highways engineering services. The initiative aimed to explore the use of Machine Learning for assessing the condition of road infrastructure through a vehicle-mounted camera. The contract, valued at £75,000, was awarded through a selective procurement method under the innovation partnership framework. The contract period commenced on 2nd September 2019 and is set to conclude on 31st October 2019. The procurement process has since reached the award stage, with the associated award notice published on 13th September 2019.

This tender presents an excellent opportunity for businesses specialising in innovative engineering solutions, particularly those with expertise in Machine Learning applications. Companies that design, manufacture, or offer services related to highway engineering and automated inspection technologies would be particularly well-suited to compete. The emphasis on SMEs indicates that smaller firms with innovative approaches may find a valuable avenue for growth through participation in this project, potentially leading to further contracts within the public sector.

## Notice

A proof of concept project to investigate the opportunities for Machine Learning to assess the condition of road drainage covers, barriers and poles from a vehicle mounted camera.

## Key Details

| Field | Value |
| --- | --- |
| Publication source | Contracts Finder |
| Latest notice | https://www.contractsfinder.service.gov.uk/Notice/ffed6c94-4c2f-434b-8eeb-f239b1737623 |
| Notice type | Award Notice |
| Procurement type | Standard |
| Procurement category | Services |
| Procurement method | Selective |
| Procurement method details | Innovation partnership (above threshold) |
| Tender suitability | SME |
| Awardee scale | Large |
| All stages | Award |

## Dates

| Field | Value |
| --- | --- |
| Publication date | 13 Sep 2019 |
| Submission deadline | 12 Aug 2019 |
| Future notice date | Not specified |
| Award date | 11 Aug 2019 |
| Contract period | 1 Sep 2019 - 31 Oct 2019 |
| Recurrence | Not specified |

## Values

| Field | Value |
| --- | --- |
| Tender value | £75,000 |
| Lots value | Not specified |
| Awards value | £75,000 |
| Contracts value | Not specified |

## Status

| Field | Value |
| --- | --- |
| Tender status | Complete |
| Lots status | Not specified |
| Awards status | Active |
| Contracts status | Not specified |

## Buyer

| Field | Value |
| --- | --- |
| Main buyer | HIGHWAYS ENGLAND COMPANY LIMITED |
| Locality | BIRMINGHAM |
| Post town | Birmingham |
| Postcode | B1 1RN |
| Country | England |
| ITL 1 | TLG West Midlands (England) |
| ITL 2 | TLG3 West Midlands |
| ITL 3 | TLG31 Birmingham |
| Local authority | Birmingham |
| Electoral ward | Ladywood |
| Westminster constituency | Birmingham Ladywood |
| Delivery location | Not specified |

## Supplier

| Field | Value |
| --- | --- |
| Number of suppliers | 1 |
| Supplier names | BENTLEY SYSTEMS (UK |

## CPV Codes

### Divisions

- 71 - Architectural, construction, engineering and inspection services

### Codes

- 71311220 - Highways engineering services

## Release History

- 13 Sep 2019 at 14:08 - Award - Award Notice - https://www.contractsfinder.service.gov.uk/Notice/ffed6c94-4c2f-434b-8eeb-f239b1737623

## Documents

- https://www.contractsfinder.service.gov.uk/Notice/ffed6c94-4c2f-434b-8eeb-f239b1737623
  13th September 2019 - Awarded contract notice on Contracts Finder

## Provenance

This Markdown file is an alternate public rendering of the D3 Tenders contract record. The canonical page is https://d3tenders.com/contract/?ocid=ocds-b5fd17-70383f5a-c7cc-4227-a4a0-800baaa8ad0e. The underlying structured data is available as OCDS JSON at https://d3tenders.com/contract/ocds-b5fd17-70383f5a-c7cc-4227-a4a0-800baaa8ad0e.json.