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Supply of a SITS Predictive System

Transport for London

This public procurement record has 1 release in its history.

Planning

16 Aug 2024 at 15:34

Planning Notice
Summary of the contracting process

Transport for London (TfL) is at the planning stage for the procurement of a SITS Predictive System, an initiative classified under IT services including consulting, software development, Internet and support. The procurement is aimed at delivering a software-based system to forecast the future state of London's road network. The invitation for early market engagement runs up to 1st November 2024, with the subsequent formal notice expected by 30th June 2025. This engagement exercise will seek to gauge the market’s capabilities and help shape the procurement strategy for future contracts, focusing primarily on services.

This tender offers substantial opportunities for businesses specialising in software development, data services, and machine learning. Companies that provide network management solutions and advanced predictive systems would be well-positioned to compete. Engaging in early market sessions with TfL can help businesses influence the formulation of the tender and showcase their innovative solutions in managing urban transport networks. Particularly, firms experienced with real-time data processing and AI-driven decision-making will find this tender well-suited to their expertise, opening doors for significant business growth.

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Notice Information

Notice Title

Supply of a SITS Predictive System

Notice Description

TfL wishes to invite potential suppliers to help shape how it might define, procure and contract for a SITS Predictive System. The purpose of this Prior Information Notice is to notify the market of TfL's intention to carry out early market engagement to assess the current market capabilities and appetite for the requirement, and to provide details of how the early market engagement process is to be conducted. TfL, at any time through this market engagement process and, at its sole discretion, may enter into discussions with respondents to this PIN. Feedback from respondents will assist TfL in understanding the current supply market considerations for the SITS Predictive System and inform the continued development of the procurement strategy for any potential future contract(s). Suppliers wishing to participate in this market engagement process and view all associated documents including the Market Brochure and Market Sounding Questionnaire (MSQ) should send an email to PredictiveCapability@tfl.gov.uk to express interest and provide appropriate contact details. TfL reserves the right to make changes to this advertisement without notice and without reason at any time.

Lot Information

Lot 1

The SITS Predictive project is to deliver a software-based system with the capability to forecast the future state of the road network in response to TfL mitigation measures to resolve congestion due to: unplanned incidents; planned events; or road network changes. The key features and capabilities of the future system are: * forecast the state of the transport network for the next 60 minutes (broken down into 10-20 minute intervals) within 5 minutes from the point of request; * cover the whole of London taking account of multiple concurrent incidents and multiple concurrent mitigation strategies; * use different datasets (static, historic and real time) to make decisions and be able to operate whilst accommodating a variety of input data; * select mitigation measures (e.g. traffic signal plan and procedures) based on the incident details and area of interest; * assemble mitigation strategies to be modelled simultaneously (alongside a 'Do Nothing' scenario) and rank them on the basis of user-defined metrics; * ultimately use machine learning/artificial intelligence to build and recommend optimal mitigation strategies on the fly and evolve to take advantage of emerging technologies. * produce results that are valid against the data collected from the field to an agreed TfL standard; * provide outputs (KPIs, speeds, flows etc.) for a user-defined Area of Interest (AOI); * amend the future recommendation of the selected mitigation strategy by assessment based on the accuracy of the selected strategy against actual results (a feedback loop); * connect seamlessly to other SITS components such as the RTO system, Data Service Hub and COV IMS for data input and output; and * provide a user interface for administration, configuration and independent scenario testing. These features enable TfL to keep traffic moving by identifying and deploying evidence base effective responses prior to the impact of disruptions becoming significant and widespread. TfL wishes to engage with the market to help shape how we might define, procure and contract for a new SITS Predictive System. This will be achieved through assessing the current market capabilities and appetite for a SITS Predictive Capability contract. TfL are seeking to explore different options for the procurement, delivery and ongoing operation of the SITS Predictive System. This includes exploring how a machine learning solution might be delivered without first having to deliver a system using established network modelling techniques. As part of the early market engagement to be undertaken, TfL would like interested parties to respond to a Market Engagement Sounding Questionnaire (MSQ). Parties that express their interest will be provided with a Market Brochure containing further details of the SITS Predictive project along with the MSQ and certain other relevant information. Responses to the MSQ should be sent to PredictiveCapability@tfl.gov.uk and are politely requested by no later than Friday 01 November 2024. TfL will endeavour to keep all interested parties updated on future developments with regards to the SITS Predictive project.

Notice Details

Publication & Lifecycle

Open Contracting ID
ocds-h6vhtk-048bba
Publication Source
Find A Tender Service
Latest Notice
https://www.find-tender.service.gov.uk/Notice/026186-2024
Current Stage
Planning
All Stages
Planning

Procurement Classification

Notice Type
Planning Notice
Procurement Type
Standard
Procurement Category
Services
Procurement Method
Not Specified
Procurement Method Details
Not specified
Tender Suitability
Not specified
Awardee Scale
Not specified

Common Procurement Vocabulary (CPV)

CPV Divisions

48 - Software package and information systems

63 - Supporting and auxiliary transport services; travel agencies services

72 - IT services: consulting, software development, Internet and support

CPV Codes

48000000 - Software package and information systems

63712000 - Support services for road transport

72000000 - IT services: consulting, software development, Internet and support

72200000 - Software programming and consultancy services

72300000 - Data services

Notice Value(s)

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

Notice Dates

Publication Date
16 Aug 20242 years ago
Submission Deadline
Not specified
Future Notice Date
30 Jun 2025Expired
Award Date
Not specified
Contract Period
Not specified - Not specified
Recurrence
Not specified

Notice Status

Tender Status
Planned
Lots Status
Planned
Awards Status
Not Specified
Contracts Status
Not Specified

Buyer & Supplier

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
E20 1JN
Postcode Area
East London
Country
England
Major Region (ITL 1)
TLI London
Basic Region (ITL 2)
TLI4 Inner London - East
Small Region (ITL 3)
TLI41 Hackney and Newham
Delivery Location
Not specified
Local Authority
Newham
Electoral Ward
Stratford Olympic Park
Westminster Constituency
Stratford and Bow

Further Information

Notice URLs

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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