Open in a 1 year

Adhesion Prediction Tool Replacement

Descriptions

TfL is seeking to procure a new contract for a railway adhesion control software development services. This notice is issued by TfL to notify the market of our intention to carry out market engagement and a potential future tender which is due to commence in March 2026. The total contract value is unknown at this time we are embark on this market engagement process. This process does not commit TfL or any potential suppliers to any spend. The specification has yet to be developed, however the findings from this market engagement process will information the final specification. To transport the high number of passengers required in a modern city constrained by legacy tunnels and platform lengths needs more frequent trains which in turn requires higher acceleration and brake rates. However, to prevent wheel spin under acceleration or wheel slide under braking requires a minimum level of adhesion (friction) at the wheel rail interface. Adhesion Controllers Condition Assessment Tool (ACCAT) has been employed over the last 20+ years on the Central line and approaching 6 years on the Sub Surface Railway. Using the underlying logic, the ACCAT processes weather data provided by a 3rd party and several other inputs to predict the available rail adhesion and outputs recommendations in the following three categories: 1. The operation of railhead treatment trains, thus improving the level of adhesion available to trains. 2. Brake rate reduction, thus reducing the adhesion required to stop the train. It also recommends when an imposed brake rate reduction can be removed 3. Severe weather warnings TfL is interested in the innovation software development solutions offered by the market for the development of a custom adhesion prediction tool.

Timeline

Published Date :

16th May 2025 Today

Deadline :

16th May 2026 in a 1 year

Contract Start :

1st Mar 2026

Contract End :

1st Mar 2029

Tender Regions

Tender Lot Details

1 Tender Lot

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Workflows

Status :

Open

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Tender Progress :

0%

Details

Notice Type :

Open opportunity

Tender Identifier :

IT-378-246-T: 2024 - 001

TenderBase ID :

310724019

Low Value :

£100K

High Value :

£1000K

Region :

North Region

Attachments :

Buyer Information

Address :

Liverpool Merseyside , Merseyside , L13 0BQ

Website :

N/A

Procurement Contact

Name :

Tina Smith

Designation :

Chief Executive Officer

Phone :

0151 252 3243

Email :

tina.smith@shared-ed.ac.uk

Possible Competitors

1 Possible Competitors