<?xml version="1.0" encoding="UTF-8"?><ns2:project xmlns:ns1="http://gtr.rcuk.ac.uk/gtr/api" xmlns:ns2="http://gtr.rcuk.ac.uk/gtr/api/project" xmlns:ns3="http://gtr.rcuk.ac.uk/gtr/api/fund" xmlns:ns4="http://gtr.rcuk.ac.uk/gtr/api/person" xmlns:ns5="http://gtr.rcuk.ac.uk/gtr/api/project/outcome" xmlns:ns6="http://gtr.rcuk.ac.uk/gtr/api/organisation" ns1:created="2026-06-03T15:52:43Z" ns1:href="http://gtr.ukri.org/gtr/api/projects/538BC59A-8939-42DF-AEEE-B13F3C25BE60" ns1:id="538BC59A-8939-42DF-AEEE-B13F3C25BE60"><ns1:links><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/organisations/6757DCBD-3A34-456A-953D-DF593C49F977" ns1:rel="LEAD_ORG"/><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/organisations/55BE7220-C2AD-49FB-AF20-FF4BF8AEBB6A" ns1:rel="PARTICIPANT_ORG"/><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/organisations/6757DCBD-3A34-456A-953D-DF593C49F977" ns1:rel="PARTICIPANT_ORG"/><ns1:link ns1:end="2021-05-30T23:00:00Z" ns1:href="http://gtr.ukri.org/gtr/api/funds/98F61AA7-929D-42EC-8AC8-34B1D899496E" ns1:rel="FUND" ns1:start="2018-12-01T00:00:00Z"/></ns1:links><ns2:identifiers><ns2:identifier ns2:type="RCUK">511358</ns2:identifier></ns2:identifiers><ns2:title>University of Portsmouth and First MTR South Western Trains Limited</ns2:title><ns2:status>Closed</ns2:status><ns2:grantCategory>Knowledge Transfer Partnership</ns2:grantCategory><ns2:leadFunder>Innovate UK</ns2:leadFunder><ns2:abstractText>To establish real time machine learning capabilities and software which will ensure that railway disruption can be minimised by optimally rescheduling trains and crews in the event of a delay by learning from past incidents, resulting in significant cost reductions.</ns2:abstractText></ns2:project>