Award

Heimdall Roadcast: Road Traffic Observation and Forecasting

DEPARTMENT OF TRANSPORT

This public procurement record has 1 release in its history.

Award

04 Jan 2019 at 11:44

Award Notice
Summary of the contracting process

The Department of Transport has successfully awarded a contract for "Heimdall Roadcast: Road Traffic Observation and Forecasting," focusing on research and development consultancy services within the UK. This project, which commenced on 9th January 2019 and is scheduled to conclude by 3rd April 2019, explores innovative machine learning techniques to enhance traffic forecasting by automating the collection of contextual data. This procurement was initiated as a single tender action, with a budget of £49,998, and the tender period ended on 5th December 2018.

This opportunity is ideal for businesses involved in research and development, particularly those specialising in machine learning, data analytics, or traffic management solutions. Companies that can provide innovative methods for automating data collection and those with a strong background in traffic forecasting would be well-positioned to benefit from similar future tenders. Engaging with such initiatives can facilitate business growth by tapping into new technology trends and supporting public sector objectives in traffic management.

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Notice Information

Notice Title

Heimdall Roadcast: Road Traffic Observation and Forecasting

Notice Description

An alternative method of forecasting traffic conditions explored in a PHD research project with Southampton University, sponsored by Siemens. Could Congestion be predicted using a machine learning approach that fused data from traffic detectors and selected contextual sources? This research programme developed a machine learning algorithm called Roadcast which has been found to be more accurate that historical average predictors by being able to learn the effects of different contexts (events, roadwork's etc.) on traffic behaviour. The contextual data sources used in the Roadcast research project were collected manually, so an important step towards commercial upscaling is the automation contextual data collection. The feasibility project will propose a method for automatically delivering contextual data for use in improving traffic condition forecasting.

Notice Details

Publication & Lifecycle

Open Contracting ID
ocds-b5fd17-59a7ff93-88d2-42ca-8a34-fdc906bb3c48
Publication Source
Contracts Finder
Latest Notice
https://www.contractsfinder.service.gov.uk/Notice/18109a7c-8a12-4c8f-b38d-afd0f3bf3ace
Current Stage
Award
All Stages
Award

Procurement Classification

Notice Type
Award Notice
Procurement Type
Standard
Procurement Category
Services
Procurement Method
Direct
Procurement Method Details
Single tender action (below threshold)
Tender Suitability
Not specified
Awardee Scale
Large

Common Procurement Vocabulary (CPV)

CPV Divisions

73 - Research and development services and related consultancy services

CPV Codes

73200000 - Research and development consultancy services

Notice Value(s)

Tender Value
£49,998 Under £100K
Lots Value
Not specified
Awards Value
£49,998 Under £100K
Contracts Value
Not specified

Notice Dates

Publication Date
4 Jan 20197 years ago
Submission Deadline
5 Dec 2018Expired
Future Notice Date
Not specified
Award Date
6 Dec 20187 years ago
Contract Period
9 Jan 2019 - 3 Apr 2019 1-6 months
Recurrence
Not specified

Notice Status

Tender Status
Complete
Lots Status
Not Specified
Awards Status
Active
Contracts Status
Not Specified

Buyer & Supplier

Contracting Authority (Buyer)

Main Buyer
DEPARTMENT OF TRANSPORT
Contact Name
Not specified
Contact Email
dftprocurement@dft.gov.uk
Contact Phone
Not specified

Buyer Location

Locality
LONDON
Postcode
SW1P 4DR
Post Town
South West London
Country
England
Major Region (ITL 1)
TLI London
Basic Region (ITL 2)
TLI3 Inner London - West
Small Region (ITL 3)
TLI35 Westminster and City of London
Delivery Location
Not specified
Local Authority
Westminster
Electoral Ward
Vincent Square
Westminster Constituency
Cities of London and Westminster

Supplier Information

Number of Suppliers
1
Supplier Name

SIEMENS MOBILITY

Further Information

Open Contracting Data Standard (OCDS)

View full OCDS Record for this contracting process

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The Open Contracting Data Standard (OCDS) is a framework designed to increase transparency and access to public procurement data in the public sector. It is widely used by governments and organisations worldwide to report on procurement processes and contracts. 

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