---
title: "GovTech Catalyst Congestion Challenge"
ocid: "ocds-b5fd17-3ad8f810-7362-4d5c-a4ac-ac0faca5055a"
canonical_url: "https://d3tenders.com/contract/?ocid=ocds-b5fd17-3ad8f810-7362-4d5c-a4ac-ac0faca5055a"
markdown_url: "https://d3tenders.com/contract/ocds-b5fd17-3ad8f810-7362-4d5c-a4ac-ac0faca5055a.md"
json_url: "https://d3tenders.com/contract/ocds-b5fd17-3ad8f810-7362-4d5c-a4ac-ac0faca5055a.json"
source: "Contracts Finder"
current_stage: "Planning"
buyer: "DEPARTMENT OF TRANSPORT"
published: "2019-01-04"
---

# GovTech Catalyst Congestion Challenge

Buyer: DEPARTMENT OF TRANSPORT  
Current stage: Planning  
OCID: ocds-b5fd17-3ad8f810-7362-4d5c-a4ac-ac0faca5055a

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## Summary

The procurement process titled "GovTech Catalyst Congestion Challenge" is being conducted by the Department of Transport, based in London, England. This initiative falls under the category of research and development consultancy services. Currently, the process is in the planning stage, with a deadline for engagement that has already passed on 5th December 2018. The programme aims to integrate CCTV systems with advanced machine learning algorithms to enhance incident detection on UK roads and is regarded as a tender initiation.

This tender presents an opportunity for technology firms and consultancies specialising in traffic management systems, data analysis, and machine learning to engage and compete. Businesses with expertise in developing software solutions that enhance transport infrastructure resilience are particularly well-suited to this challenge. The successful implementation of this project could lead to significant advancements in urban traffic control, thereby contributing to overall business growth in the public transport sector and associated technology fields.

## Notice

FlowX has spent the last 12 months researching how to overcome integration challenges with incumbent CCTV infrastructure. They have successfully navigated these barriers with Leeds City Council. FlowX is now partnering with Vivacity Labs. Using its deep machine learning algorithms, this project will develop the ability to automate incident detection from existing traffic management CCTV assets. Real-time incident alerts will ultimately be shared with traffic controllers integrated into the existing UTMC system. These alerts unlock a more effective use of existing infrastructure, enabling Traffic Operators to quickly intervene after an incident to stop the spread of congestion and so improve network resilience.

## Key Details

| Field | Value |
| --- | --- |
| Publication source | Contracts Finder |
| Latest notice | https://www.contractsfinder.service.gov.uk/Notice/e7841caf-92dd-40b0-88cb-45d8df8bc266 |
| Notice type | Market Engagement Notice |
| Procurement type | Standard |
| Procurement category | Not specified |
| Procurement method | Not Specified |
| Procurement method details | Not specified |
| Tender suitability | Not specified |
| Awardee scale | Not specified |
| All stages | Planning |

## Dates

| Field | Value |
| --- | --- |
| Publication date | 4 Jan 2019 |
| Submission deadline | Not specified |
| Future notice date | 5 Dec 2018 |
| Award date | Not specified |
| Contract period | Not specified |
| Recurrence | Not specified |

## Values

| Field | Value |
| --- | --- |
| Tender value | Not specified |
| Lots value | Not specified |
| Awards value | Not specified |
| Contracts value | Not specified |

## Status

| Field | Value |
| --- | --- |
| Tender status | Planning |
| Lots status | Not specified |
| Awards status | Not specified |
| Contracts status | Not specified |

## Buyer

| Field | Value |
| --- | --- |
| Main buyer | DEPARTMENT OF TRANSPORT |
| Locality | LONDON |
| Post town | South West London |
| Postcode | SW1P 4DR |
| Country | England |
| ITL 1 | TLI London |
| ITL 2 | TLI3 Inner London - West |
| ITL 3 | TLI35 Westminster and City of London |
| Local authority | Westminster |
| Electoral ward | Vincent Square |
| Westminster constituency | Cities of London and Westminster |
| Delivery location | TLI London |

## CPV Codes

### Divisions

- 73 - Research and development services and related consultancy services

### Codes

- 73200000 - Research and development consultancy services

## Release History

- 4 Jan 2019 at 10:40 - Planning - Market Engagement Notice - https://www.contractsfinder.service.gov.uk/Notice/e7841caf-92dd-40b0-88cb-45d8df8bc266

## Documents

- https://www.contractsfinder.service.gov.uk/Notice/e7841caf-92dd-40b0-88cb-45d8df8bc266
  4th January 2019 - Early engagement notice on Contracts Finder
- https://www.contractsfinder.service.gov.uk/Notice/Attachment/551b4253-07f5-455a-a2eb-bfcdd4fb62d6
  Award Letter

## 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-b5fd17-3ad8f810-7362-4d5c-a4ac-ac0faca5055a. The underlying structured data is available as OCDS JSON at https://d3tenders.com/contract/ocds-b5fd17-3ad8f810-7362-4d5c-a4ac-ac0faca5055a.json.