Award

T0509 Verification of Traffic Model Forecasting Techniques

NATIONAL HIGHWAYS

This public procurement record has 1 release in its history.

Award

24 Oct 2023 at 09:32

Summary of the contracting process

National Highways has awarded a contract for the project titled "T0509 Verification of Traffic Model Forecasting Techniques". The contract falls under the industry category of Research and Development services and related consultancy services. The procurement method was selective, conducted through a call-off from a framework agreement. The contract period is from 24th October 2023 to 31st March 2024. The project will involve examining common forecasting techniques used in modelling to validate their accuracy, offering opportunities for businesses in the services sector, especially those skilled in traffic modelling and research.

The tender issued by National Highways presents a chance for suppliers to engage in vital modelling evaluation work. Businesses with expertise in traffic modelling parameters, research methodology, and forecasting techniques are well-suited to compete for this contract. The location of the project is in the North East region of the United Kingdom. The tender deadline for submissions was 26th September 2023, with a contract value of GBP 70,173.66. Small and Medium-sized Enterprises (SMEs) are encouraged to participate in this opportunity for growth and collaboration within the SPaTS2 Framework.

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Notice Title

T0509 Verification of Traffic Model Forecasting Techniques

Notice Description

National Highways is seeking to appoint a supplier via the SPaTS2 Framework, to undertake research into key traffic modelling parameters to ensure that established assumptions, processes, and methods are valid. The aim of this project is to examine common forecasting techniques used in modelling and attempt to replicate historic scenarios as proof of the techniques' usefulness and accuracy. This is a key piece of modelling evaluation work which is required to understand the extent to which current modelling techniques are accurat e which could ultimately influence how scheme forecasts are created.

Publication & Lifecycle

Open Contracting ID
ocds-b5fd17-c98b52c7-3ee4-4ab2-a995-948d78722d4b
Publication Source
Contracts Finder
Latest Notice
https://www.contractsfinder.service.gov.uk/Notice/f744c90f-cab2-4441-acd6-b157cb36e1eb
Current Stage
Award
All Stages
Award

Procurement Classification

Notice Type
Award Notice
Procurement Type
Framework
Procurement Category
Services
Procurement Method
Selective
Procurement Method Details
Call-off from a framework agreement
Tender Suitability
SME
Awardee Scale
Large

Common Procurement Vocabulary (CPV)

CPV Divisions

73 - Research and development services and related consultancy services


CPV Codes

73000000 - Research and development services and related consultancy services

Notice Value(s)

Tender Value
£70,173 Under £100K
Lots Value
Not specified
Awards Value
£70,173 Under £100K
Contracts Value
Not specified

Notice Dates

Publication Date
24 Oct 20232 years ago
Submission Deadline
26 Sep 2023Expired
Future Notice Date
Not specified
Award Date
23 Oct 20232 years ago
Contract Period
23 Oct 2023 - 31 Mar 2024 1-6 months
Recurrence
Not specified

Notice Status

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

Contracting Authority (Buyer)

Main Buyer
NATIONAL HIGHWAYS
Contact Name
Available with D3 Tenders Premium →
Contact Email
Available with D3 Tenders Premium →
Contact Phone
Available with D3 Tenders Premium →

Buyer Location

Locality
BIRMINGHAM
Postcode
B1 1RN
Post Town
Birmingham
Country
England

Major Region (ITL 1)
TLG West Midlands (England)
Basic Region (ITL 2)
TLG3 West Midlands
Small Region (ITL 3)
TLG31 Birmingham
Delivery Location
TLC North East (England)

Local Authority
Birmingham
Electoral Ward
Ladywood
Westminster Constituency
Birmingham Ladywood

Supplier Information

Number of Suppliers
1
Supplier Name

OVE ARUP & PARTNERS LTD - SPATS

Open Contracting Data Standard (OCDS)

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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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