<?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/DC95F05F-87DF-4C82-B781-CDF2259A961A" ns1:id="DC95F05F-87DF-4C82-B781-CDF2259A961A"><ns1:links><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/persons/721FEC2F-615D-4D16-BE01-6CD658AB8697" ns1:rel="PM_PER"/><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/organisations/4CA8A782-E13E-426B-A3BF-CA4F98786CCC" ns1:rel="LEAD_ORG"/><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/organisations/C67EAFBD-9A47-4966-B048-8EFF2E05138E" ns1:rel="PARTICIPANT_ORG"/><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/organisations/4CA8A782-E13E-426B-A3BF-CA4F98786CCC" ns1:rel="PARTICIPANT_ORG"/><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/organisations/0E02F0A8-725C-46C4-AA02-6C38BED9BC23" ns1:rel="PARTICIPANT_ORG"/><ns1:link ns1:end="2025-01-31T00:00:00Z" ns1:href="http://gtr.ukri.org/gtr/api/funds/9DF7E0F3-F915-4E18-A89A-0C299FF8DDC5" ns1:rel="FUND" ns1:start="2024-04-30T23:00:00Z"/></ns1:links><ns2:identifiers><ns2:identifier ns2:type="RCUK">10109408</ns2:identifier></ns2:identifiers><ns2:title>Accelerating Net Zero via Data Fusion Feasibility for Increased Data Sharing between Control Room, Bus and Active Travel Teams</ns2:title><ns2:status>Closed</ns2:status><ns2:grantCategory>Collaborative R&amp;D</ns2:grantCategory><ns2:leadFunder>Innovate UK</ns2:leadFunder><ns2:abstractText>Local Authority teams face challenges using Bus, Active Travel and Roadworks data together. This presents an opportunity to improve day-to-day tactical decision making and month-to-month strategic investment decisions to ultimately benefit Net Zero targets.

Current state-of-the-art to address this problem doesn't extract the causal insight and automatic alerting required to satisfy effective user decision making.

This project co-creates a feasibility study to investigate overcoming these barriers, which stop shared data being used, stop data-driven decisions being made, and therefore adversely impact Net Zero targets.</ns2:abstractText></ns2:project>