Tender

Annual Visual AI Survey on the London Principal Road Network

TRANSPORT FOR LONDON

This public procurement record has 2 releases in its history.

Tender

10 Mar 2021 at 09:55

Tender

09 Mar 2021 at 10:43

Summary of the contracting process

Transport for London is inviting tenders for the "Annual Visual AI Survey on the London Principal Road Network". This procurement falls under the industry category of surface surveying services and road-inspection services. The tender process, which is currently active, follows an open procurement method and is scheduled to close on 8 April 2021. The resulting contract is expected to commence on 9 May 2021 and extend for a period of two years, concluding on 8 May 2023. The survey will cover approximately 2550 lane kilometres of London's Borough Principal Road Network and related road networks.

This tender presents significant opportunities for businesses specialising in artificial intelligence and road surface condition analysis. Small and medium-sized enterprises (SMEs) would be particularly well-suited to compete, given the requirement for innovative technology to conduct visual surveys using smartphone cameras in moving vehicles. Companies with expertise in data collection, processing, and analysis within the transport industry can leverage this opportunity to provide essential data that supports investment decisions and enhances road network management.

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Notice Title

Annual Visual AI Survey on the London Principal Road Network

Notice Description

A service provider is sought to provide an annual Artificial Intelligence-Based Visual Carriageway Condition survey (Visual AI survey) to identify and support asset investment decisions on London's Borough Principal Road Network (BPRN). The condition data collected in the Visual AI survey will be used to move towards a robust approach for funding allocation between the London Highways Authorities to ensure value-driven scheme selection, vital to achieve the best value for money for TfL, the London Boroughs and LoHEG (London Highways Engineers Group Framework). The service requirement may also include the driven collection of the condition data by the Service Provider as well as a Visual AI Survey of the Transport for London Road Network (TLRN) and Borough Non-Principal Road Networks (i.e. B, C and U Roads) with the provision and online storage of the survey data, as optional services. The total length of the BPRN required to be surveyed in Lane 1 is approximately 2550 lane km (total for both directions). As well as surveying roads in both directions, some multi-lane carriageways will be surveyed more than once in the same direction. The contract will therefore provide the option for Visual AI surveys to be undertaken in the additional lanes of the BPRN multi-lane network sections, as well as the TLRN and non-principal Borough-maintained roads. The system used to survey and assess road surface condition shall be an artificial intelligence-based system capable of optical recognition of defects and collection of condition data (meaning the presence, type and severity of defects) using a smartphone camera from a moving vehicle traveling at normal highway speeds. Other mechanical means of survey may be additional but must not replace the use of optics. The Service Provider shall ensure the collected condition data is processed using an artificial intelligence-based, automated methodology at all stages from collection to processing. The Service Provider shall carry out all necessary validation and processing of the Visual AI Survey data in order to provide the results according to the required formats and conditions as defined in the Specification and accurately fitting against the Authority's Network in Geographical Information System (GIS) format. The Service Provider shall ensure the Visual AI Survey system is able to assess the defects listed for bituminous and concrete carriageways in 'The UKPMS User Manual, Volume Two, Chapter 8: Detailed Visual Inspection'. These include, but are not limited to: * Cracking * Chip loss, fretting and surface deterioration * Subsidence * Fatting The procurement documents are available for unrestricted and full direct access, free of charge, at https://procontract.due-north.com/

Publication & Lifecycle

Open Contracting ID
ocds-b5fd17-65b49e49-fbd6-40d8-b289-fdd2085746e8
Publication Source
Contracts Finder
Latest Notice
https://www.contractsfinder.service.gov.uk/Notice/cdd643ec-b66a-4ef6-b3e7-19f5bfbf1b6c
Current Stage
Tender
All Stages
Tender

Procurement Classification

Notice Type
Tender Notice
Procurement Type
Standard
Procurement Category
Services
Procurement Method
Open
Procurement Method Details
Open procedure
Tender Suitability
SME
Awardee Scale
Not specified

Common Procurement Vocabulary (CPV)

CPV Divisions

71 - Architectural, construction, engineering and inspection services


CPV Codes

71353000 - Surface surveying services

71631480 - Road-inspection services

Notice Value(s)

Tender Value
Not specified
Lots Value
Not specified
Awards Value
Not specified
Contracts Value
Not specified

Notice Dates

Publication Date
10 Mar 20214 years ago
Submission Deadline
8 Apr 2021Expired
Future Notice Date
Not specified
Award Date
Not specified
Contract Period
8 May 2021 - 8 May 2023 1-2 years
Recurrence
Not specified

Notice Status

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

Contracting Authority (Buyer)

Main Buyer
TRANSPORT FOR LONDON
Contact Name
Available with D3 Tenders Premium →
Contact Email
Available with D3 Tenders Premium →
Contact Phone
Available with D3 Tenders Premium →

Buyer Location

Locality
LONDON
Postcode
SE1 8NJ
Post Town
South East London
Country
England

Major Region (ITL 1)
TLI London
Basic Region (ITL 2)
TLI4 Inner London - East
Small Region (ITL 3)
TLI44 Lewisham and Southwark
Delivery Location
TLI London

Local Authority
Southwark
Electoral Ward
Borough & Bankside
Westminster Constituency
Bermondsey and Old Southwark

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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