<?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="2026-07-08T08:44:08Z" ns1:href="http://gtr.ukri.org/gtr/api/projects/BC1A72AF-4A4D-4011-9940-5EBE502E54B3" ns1:id="BC1A72AF-4A4D-4011-9940-5EBE502E54B3"><ns1:links><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/persons/11E2D8BD-9D65-4A9F-BFC0-9762B2B56D73" ns1:rel="PM_PER"/><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/organisations/E62A3B0D-E413-4626-9E04-1C173C2F7272" ns1:rel="LEAD_ORG"/><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/organisations/321E62E4-7300-4217-90EA-30932B7A8CB8" ns1:rel="PARTICIPANT_ORG"/><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/organisations/E62A3B0D-E413-4626-9E04-1C173C2F7272" ns1:rel="PARTICIPANT_ORG"/><ns1:link ns1:end="2021-08-30T23:00:00Z" ns1:href="http://gtr.ukri.org/gtr/api/funds/7BE5D3AA-BE50-41B0-9863-126BEA4F2965" ns1:rel="FUND" ns1:start="2018-05-31T23:00:00Z"/></ns1:links><ns2:identifiers><ns2:identifier ns2:type="RCUK">104219</ns2:identifier></ns2:identifiers><ns2:title>Using Artificial Intelligence &amp;amp; simulations to optimise traffic networks</ns2:title><ns2:status>Closed</ns2:status><ns2:grantCategory>Collaborative R&amp;D</ns2:grantCategory><ns2:leadFunder>Innovate UK</ns2:leadFunder><ns2:abstractText>This project looks to develop more intelligent traffic signal control systems. Through collaboration between an innovative, VC-backed startup, a Transport Systems Catapult spin-out, and an established industry expert, we will deliver traffic control based on artificial intelligence. The project will explore use of a range of simulation techniques, integration with existing urban traffic management systems, and ultimately test and deploy this new capability.</ns2:abstractText></ns2:project>